We aim to examine the relation of neighborhood-level income inequality with psychosocial and biomedical risk factors of CVD within a racially and socioeconomically diverse cohort of adults in Baltimore, Maryland.
Psychosocial risk factors include: depressive symptoms, anger, anxiety, and perceived stress.
Biomedical risk factors include: blood pressure, cholesterol (LDL, HDL, Total Chol), glucose, and body mass index (BMI)
Covariates include: demographic (age, sex, race, education), medical conditions, medications, and substance use.
Two sets of interactions are examined:
Below are all the models produced by backwards elimination.
Psychosocial:
Backwards elimination from PovStat x Gini2 x Race and from MedianHouseholdIncome x Gini2 x Race both yield only Gini main effect. Gini coefficient is negative for all psychosocial measures, where more inequality is predictive of better psychological health.
Biomedical:
Backwards elimination from PovStat x Gini2 x Race:
Backwards elimination from MedianHouseholdIncome x Gini2 x Race:
##
## ************************************************************
## ************************************************************
## BEGIN: CESimp
## ************************************************************
## ************************************************************
## -------------STEP 1 -------------
##
## Call:
## lm(formula = "CESimp ~ Gini100C*PovStat*Race + I(Gini100C^2)*PovStat*Race + Age0 + Sex + Race + HseHldEducationDich + PovStat + CVDclusterdich + DMMclusterdich + PhysBMI + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C",
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -21.00 -7.45 -2.07 5.62 43.36
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 17.25493 1.97052 8.76 < 2e-16
## Gini100C -0.18065 0.09072 -1.99 0.04660
## PovStat 3.49810 1.26785 2.76 0.00585
## Race 0.03907 0.91618 0.04 0.96599
## I(Gini100C^2) -0.00172 0.00984 -0.17 0.86167
## Age0 -0.04204 0.02880 -1.46 0.14452
## Sex -1.43907 0.50045 -2.88 0.00408
## HseHldEducationDich -3.54334 0.54154 -6.54 0.000000000078
## CVDclusterdich -0.05362 1.30670 -0.04 0.96727
## DMMclusterdich 0.93700 0.64488 1.45 0.14640
## PhysBMI -0.00683 0.03397 -0.20 0.84072
## rxPsych 7.43133 0.70991 10.47 < 2e-16
## rxHTN -0.88123 0.65372 -1.35 0.17782
## rxDiabetes 0.82496 1.05108 0.78 0.43263
## rxHypercholesterolemia -0.82563 0.88686 -0.93 0.35199
## SmokingCurr -1.77430 0.62921 -2.82 0.00485
## AlcoholCurr 0.34515 0.50882 0.68 0.49764
## IllicitDrugCurr 2.30965 0.69396 3.33 0.00089
## MedianHouseholdIncome2C -0.05514 0.24644 -0.22 0.82297
## Gini100C:PovStat 0.17155 0.16929 1.01 0.31104
## Gini100C:Race 0.14038 0.12690 1.11 0.26875
## PovStat:Race -0.83566 1.48508 -0.56 0.57370
## PovStat:I(Gini100C^2) -0.00438 0.01813 -0.24 0.80932
## Race:I(Gini100C^2) -0.00886 0.01446 -0.61 0.54005
## Gini100C:PovStat:Race -0.12501 0.21790 -0.57 0.56624
## PovStat:Race:I(Gini100C^2) 0.01107 0.02263 0.49 0.62477
##
## Residual standard error: 10.3 on 1865 degrees of freedom
## Multiple R-squared: 0.147, Adjusted R-squared: 0.135
## F-statistic: 12.8 on 25 and 1865 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 1 : PovStat:Race:I(Gini100C^2)
## --------
##
## -------------STEP 2 -------------
##
## Call:
## lm(formula = CESimp ~ Gini100C + PovStat + Race + I(Gini100C^2) +
## Age0 + Sex + HseHldEducationDich + CVDclusterdich + DMMclusterdich +
## PhysBMI + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia +
## SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C +
## Gini100C:PovStat + Gini100C:Race + PovStat:Race + PovStat:I(Gini100C^2) +
## Race:I(Gini100C^2) + Gini100C:PovStat:Race, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -20.89 -7.45 -2.09 5.60 43.26
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 17.31159 1.96672 8.80 < 2e-16
## Gini100C -0.16776 0.08680 -1.93 0.05341
## PovStat 3.14518 1.04237 3.02 0.00258
## Race -0.15408 0.82657 -0.19 0.85214
## I(Gini100C^2) -0.00375 0.00891 -0.42 0.67368
## Age0 -0.04125 0.02875 -1.43 0.15146
## Sex -1.44125 0.50033 -2.88 0.00401
## HseHldEducationDich -3.53812 0.54132 -6.54 0.000000000081
## CVDclusterdich -0.02961 1.30551 -0.02 0.98191
## DMMclusterdich 0.93611 0.64474 1.45 0.14670
## PhysBMI -0.00636 0.03395 -0.19 0.85140
## rxPsych 7.42660 0.70970 10.46 < 2e-16
## rxHTN -0.87812 0.65356 -1.34 0.17924
## rxDiabetes 0.81161 1.05051 0.77 0.43987
## rxHypercholesterolemia -0.82871 0.88665 -0.93 0.35009
## SmokingCurr -1.77597 0.62907 -2.82 0.00481
## AlcoholCurr 0.34271 0.50869 0.67 0.50058
## IllicitDrugCurr 2.30991 0.69382 3.33 0.00089
## MedianHouseholdIncome2C -0.05486 0.24639 -0.22 0.82383
## Gini100C:PovStat 0.13479 0.15168 0.89 0.37429
## Gini100C:Race 0.11614 0.11680 0.99 0.32016
## PovStat:Race -0.35227 1.10838 -0.32 0.75065
## PovStat:I(Gini100C^2) 0.00273 0.01084 0.25 0.80087
## Race:I(Gini100C^2) -0.00437 0.01116 -0.39 0.69571
## Gini100C:PovStat:Race -0.06228 0.17613 -0.35 0.72369
##
## Residual standard error: 10.3 on 1866 degrees of freedom
## Multiple R-squared: 0.147, Adjusted R-squared: 0.136
## F-statistic: 13.4 on 24 and 1866 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 2 : PovStat:I(Gini100C^2)
## --------
##
## -------------STEP 3 -------------
##
## Call:
## lm(formula = CESimp ~ Gini100C + PovStat + Race + I(Gini100C^2) +
## Age0 + Sex + HseHldEducationDich + CVDclusterdich + DMMclusterdich +
## PhysBMI + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia +
## SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C +
## Gini100C:PovStat + Gini100C:Race + PovStat:Race + Race:I(Gini100C^2) +
## Gini100C:PovStat:Race, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -20.92 -7.46 -2.08 5.64 43.21
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 17.26451 1.95735 8.82 < 2e-16
## Gini100C -0.17290 0.08435 -2.05 0.04052
## PovStat 3.28144 0.89130 3.68 0.00024
## Race -0.17057 0.82377 -0.21 0.83598
## I(Gini100C^2) -0.00296 0.00834 -0.35 0.72263
## Age0 -0.04130 0.02874 -1.44 0.15083
## Sex -1.44118 0.50020 -2.88 0.00401
## HseHldEducationDich -3.53356 0.54089 -6.53 0.000000000083
## CVDclusterdich -0.02620 1.30512 -0.02 0.98399
## DMMclusterdich 0.93703 0.64457 1.45 0.14619
## PhysBMI -0.00625 0.03394 -0.18 0.85392
## rxPsych 7.43487 0.70877 10.49 < 2e-16
## rxHTN -0.87490 0.65327 -1.34 0.18065
## rxDiabetes 0.80568 1.04999 0.77 0.44299
## rxHypercholesterolemia -0.82644 0.88639 -0.93 0.35127
## SmokingCurr -1.77641 0.62891 -2.82 0.00478
## AlcoholCurr 0.34247 0.50856 0.67 0.50078
## IllicitDrugCurr 2.30746 0.69358 3.33 0.00090
## MedianHouseholdIncome2C -0.05743 0.24612 -0.23 0.81551
## Gini100C:PovStat 0.14895 0.14088 1.06 0.29051
## Gini100C:Race 0.11327 0.11621 0.97 0.32985
## PovStat:Race -0.39947 1.09220 -0.37 0.71459
## Race:I(Gini100C^2) -0.00346 0.01057 -0.33 0.74326
## Gini100C:PovStat:Race -0.05856 0.17547 -0.33 0.73861
##
## Residual standard error: 10.3 on 1867 degrees of freedom
## Multiple R-squared: 0.147, Adjusted R-squared: 0.136
## F-statistic: 14 on 23 and 1867 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 3 : Race:I(Gini100C^2)
## --------
##
## -------------STEP 4 -------------
##
## Call:
## lm(formula = CESimp ~ Gini100C + PovStat + Race + I(Gini100C^2) +
## Age0 + Sex + HseHldEducationDich + CVDclusterdich + DMMclusterdich +
## PhysBMI + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia +
## SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C +
## Gini100C:PovStat + Gini100C:Race + PovStat:Race + Gini100C:PovStat:Race,
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -20.89 -7.43 -2.08 5.62 43.26
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 17.38374 1.92276 9.04 < 2e-16
## Gini100C -0.15959 0.07390 -2.16 0.03093
## PovStat 3.27579 0.89092 3.68 0.00024
## Race -0.32735 0.67035 -0.49 0.62538
## I(Gini100C^2) -0.00507 0.00527 -0.96 0.33621
## Age0 -0.04120 0.02873 -1.43 0.15172
## Sex -1.44957 0.49943 -2.90 0.00375
## HseHldEducationDich -3.52506 0.54013 -6.53 0.000000000087
## CVDclusterdich -0.03161 1.30470 -0.02 0.98067
## DMMclusterdich 0.91982 0.64227 1.43 0.15228
## PhysBMI -0.00658 0.03392 -0.19 0.84619
## rxPsych 7.42679 0.70817 10.49 < 2e-16
## rxHTN -0.87452 0.65312 -1.34 0.18073
## rxDiabetes 0.82446 1.04817 0.79 0.43163
## rxHypercholesterolemia -0.82757 0.88617 -0.93 0.35049
## SmokingCurr -1.77256 0.62865 -2.82 0.00486
## AlcoholCurr 0.33882 0.50832 0.67 0.50514
## IllicitDrugCurr 2.29917 0.69295 3.32 0.00092
## MedianHouseholdIncome2C -0.05462 0.24591 -0.22 0.82425
## Gini100C:PovStat 0.14565 0.14048 1.04 0.29997
## Gini100C:Race 0.09391 0.10003 0.94 0.34798
## PovStat:Race -0.38571 1.09113 -0.35 0.72375
## Gini100C:PovStat:Race -0.06180 0.17515 -0.35 0.72427
##
## Residual standard error: 10.3 on 1868 degrees of freedom
## Multiple R-squared: 0.147, Adjusted R-squared: 0.137
## F-statistic: 14.6 on 22 and 1868 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 4 : Gini100C:PovStat:Race
## --------
##
## -------------STEP 5 -------------
##
## Call:
## lm(formula = CESimp ~ Gini100C + PovStat + Race + I(Gini100C^2) +
## Age0 + Sex + HseHldEducationDich + CVDclusterdich + DMMclusterdich +
## PhysBMI + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia +
## SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C +
## Gini100C:PovStat + Gini100C:Race + PovStat:Race, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -20.88 -7.44 -2.09 5.64 43.21
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 17.39876 1.92183 9.05 < 2e-16
## Gini100C -0.14883 0.06730 -2.21 0.02712
## PovStat 3.18725 0.85463 3.73 0.00020
## Race -0.33879 0.66940 -0.51 0.61284
## I(Gini100C^2) -0.00545 0.00517 -1.05 0.29188
## Age0 -0.04115 0.02872 -1.43 0.15217
## Sex -1.44668 0.49924 -2.90 0.00380
## HseHldEducationDich -3.52044 0.53985 -6.52 0.00000000009
## CVDclusterdich -0.04161 1.30409 -0.03 0.97455
## DMMclusterdich 0.92111 0.64211 1.43 0.15160
## PhysBMI -0.00655 0.03391 -0.19 0.84691
## rxPsych 7.42319 0.70793 10.49 < 2e-16
## rxHTN -0.87388 0.65296 -1.34 0.18095
## rxDiabetes 0.81232 1.04736 0.78 0.43809
## rxHypercholesterolemia -0.82607 0.88595 -0.93 0.35125
## SmokingCurr -1.76826 0.62839 -2.81 0.00494
## AlcoholCurr 0.33822 0.50820 0.67 0.50579
## IllicitDrugCurr 2.29347 0.69260 3.31 0.00095
## MedianHouseholdIncome2C -0.04957 0.24543 -0.20 0.83997
## Gini100C:PovStat 0.10549 0.08232 1.28 0.20019
## Gini100C:Race 0.07357 0.08173 0.90 0.36818
## PovStat:Race -0.31654 1.07312 -0.29 0.76805
##
## Residual standard error: 10.3 on 1869 degrees of freedom
## Multiple R-squared: 0.147, Adjusted R-squared: 0.137
## F-statistic: 15.3 on 21 and 1869 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 5 : PovStat:Race
## --------
##
## -------------STEP 6 -------------
##
## Call:
## lm(formula = CESimp ~ Gini100C + PovStat + Race + I(Gini100C^2) +
## Age0 + Sex + HseHldEducationDich + CVDclusterdich + DMMclusterdich +
## PhysBMI + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia +
## SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C +
## Gini100C:PovStat + Gini100C:Race, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -20.92 -7.47 -2.07 5.61 43.19
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 17.43483 1.91747 9.09 < 2e-16
## Gini100C -0.15019 0.06712 -2.24 0.02537
## PovStat 2.98776 0.52239 5.72 0.000000012416
## Race -0.45135 0.54985 -0.82 0.41183
## I(Gini100C^2) -0.00534 0.00515 -1.04 0.29985
## Age0 -0.04091 0.02871 -1.43 0.15428
## Sex -1.44796 0.49910 -2.90 0.00376
## HseHldEducationDich -3.52371 0.53960 -6.53 0.000000000084
## CVDclusterdich -0.04087 1.30377 -0.03 0.97500
## DMMclusterdich 0.92015 0.64195 1.43 0.15192
## PhysBMI -0.00591 0.03383 -0.17 0.86128
## rxPsych 7.41779 0.70752 10.48 < 2e-16
## rxHTN -0.88237 0.65217 -1.35 0.17622
## rxDiabetes 0.82111 1.04668 0.78 0.43285
## rxHypercholesterolemia -0.83336 0.88539 -0.94 0.34671
## SmokingCurr -1.77353 0.62798 -2.82 0.00479
## AlcoholCurr 0.33228 0.50767 0.65 0.51286
## IllicitDrugCurr 2.29386 0.69243 3.31 0.00094
## MedianHouseholdIncome2C -0.05904 0.24327 -0.24 0.80827
## Gini100C:PovStat 0.09935 0.07962 1.25 0.21229
## Gini100C:Race 0.07519 0.08152 0.92 0.35646
##
## Residual standard error: 10.3 on 1870 degrees of freedom
## Multiple R-squared: 0.147, Adjusted R-squared: 0.137
## F-statistic: 16.1 on 20 and 1870 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 6 : Gini100C:Race
## --------
##
## -------------STEP 7 -------------
##
## Call:
## lm(formula = CESimp ~ Gini100C + PovStat + Race + I(Gini100C^2) +
## Age0 + Sex + HseHldEducationDich + CVDclusterdich + DMMclusterdich +
## PhysBMI + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia +
## SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C +
## Gini100C:PovStat, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -21.08 -7.47 -2.11 5.66 43.27
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 17.40965 1.91720 9.08 < 2e-16
## Gini100C -0.12156 0.05951 -2.04 0.04123
## PovStat 3.06251 0.51604 5.93 0.000000003501
## Race -0.52585 0.54387 -0.97 0.33373
## I(Gini100C^2) -0.00504 0.00514 -0.98 0.32679
## Age0 -0.03986 0.02868 -1.39 0.16482
## Sex -1.42740 0.49858 -2.86 0.00424
## HseHldEducationDich -3.54614 0.53903 -6.58 0.000000000061
## CVDclusterdich -0.03571 1.30370 -0.03 0.97815
## DMMclusterdich 0.90909 0.64181 1.42 0.15681
## PhysBMI -0.00449 0.03379 -0.13 0.89422
## rxPsych 7.40521 0.70736 10.47 < 2e-16
## rxHTN -0.89528 0.65199 -1.37 0.16987
## rxDiabetes 0.84519 1.04631 0.81 0.41932
## rxHypercholesterolemia -0.84359 0.88529 -0.95 0.34076
## SmokingCurr -1.78288 0.62787 -2.84 0.00457
## AlcoholCurr 0.30718 0.50692 0.61 0.54461
## IllicitDrugCurr 2.30587 0.69228 3.33 0.00088
## MedianHouseholdIncome2C -0.08568 0.24153 -0.35 0.72282
## Gini100C:PovStat 0.12533 0.07447 1.68 0.09253
##
## Residual standard error: 10.3 on 1871 degrees of freedom
## Multiple R-squared: 0.146, Adjusted R-squared: 0.137
## F-statistic: 16.9 on 19 and 1871 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 7 : I(Gini100C^2)
## --------
##
## -------------STEP 8 -------------
##
## Call:
## lm(formula = CESimp ~ Gini100C + PovStat + Race + Age0 + Sex +
## HseHldEducationDich + CVDclusterdich + DMMclusterdich + PhysBMI +
## rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr +
## AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C +
## Gini100C:PovStat, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -21.33 -7.48 -2.06 5.65 43.63
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 17.15391 1.89937 9.03 < 2e-16
## Gini100C -0.15160 0.05103 -2.97 0.0030
## PovStat 3.04010 0.51553 5.90 0.000000004380
## Race -0.44249 0.53718 -0.82 0.4102
## Age0 -0.04008 0.02868 -1.40 0.1625
## Sex -1.45194 0.49795 -2.92 0.0036
## HseHldEducationDich -3.58205 0.53778 -6.66 0.000000000036
## CVDclusterdich -0.09177 1.30243 -0.07 0.9438
## DMMclusterdich 0.87589 0.64091 1.37 0.1719
## PhysBMI -0.00221 0.03371 -0.07 0.9478
## rxPsych 7.38034 0.70690 10.44 < 2e-16
## rxHTN -0.88236 0.65185 -1.35 0.1760
## rxDiabetes 0.89335 1.04515 0.85 0.3928
## rxHypercholesterolemia -0.85189 0.88524 -0.96 0.3360
## SmokingCurr -1.78206 0.62787 -2.84 0.0046
## AlcoholCurr 0.30348 0.50690 0.60 0.5494
## IllicitDrugCurr 2.26552 0.69105 3.28 0.0011
## MedianHouseholdIncome2C -0.12720 0.23779 -0.53 0.5928
## Gini100C:PovStat 0.11095 0.07301 1.52 0.1288
##
## Residual standard error: 10.3 on 1872 degrees of freedom
## Multiple R-squared: 0.146, Adjusted R-squared: 0.137
## F-statistic: 17.7 on 18 and 1872 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 8 : Gini100C:PovStat
## --------
##
## -------------STEP 9 -------------
##
## Call:
## lm(formula = CESimp ~ Gini100C + PovStat + Race + Age0 + Sex +
## HseHldEducationDich + CVDclusterdich + DMMclusterdich + PhysBMI +
## rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr +
## AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C,
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -21.98 -7.44 -2.11 5.61 43.78
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 17.0846 1.8995 8.99 < 2e-16
## Gini100C -0.1010 0.0387 -2.61 0.00911
## PovStat 3.0444 0.5157 5.90 0.000000004217
## Race -0.3131 0.5306 -0.59 0.55521
## Age0 -0.0384 0.0287 -1.34 0.18030
## Sex -1.4360 0.4980 -2.88 0.00398
## HseHldEducationDich -3.6566 0.5357 -6.83 0.000000000012
## CVDclusterdich -0.0493 1.3026 -0.04 0.96979
## DMMclusterdich 0.8875 0.6411 1.38 0.16643
## PhysBMI -0.0028 0.0337 -0.08 0.93374
## rxPsych 7.4575 0.7053 10.57 < 2e-16
## rxHTN -0.8958 0.6520 -1.37 0.16965
## rxDiabetes 0.8690 1.0454 0.83 0.40594
## rxHypercholesterolemia -0.8318 0.8854 -0.94 0.34763
## SmokingCurr -1.7925 0.6280 -2.85 0.00436
## AlcoholCurr 0.3063 0.5071 0.60 0.54588
## IllicitDrugCurr 2.2924 0.6911 3.32 0.00093
## MedianHouseholdIncome2C -0.1171 0.2378 -0.49 0.62258
##
## Residual standard error: 10.3 on 1873 degrees of freedom
## Multiple R-squared: 0.145, Adjusted R-squared: 0.137
## F-statistic: 18.6 on 17 and 1873 DF, p-value: <2e-16
##
## ***************** END Backward Elimination: CESimp *****************************
##
##
## ************************************************************
## ************************************************************
## BEGIN: acasiPDSQanx
## ************************************************************
## ************************************************************
## -------------STEP 1 -------------
##
## Call:
## lm(formula = "acasiPDSQanx ~ Gini100C*PovStat*Race + I(Gini100C^2)*PovStat*Race + Age0 + Sex + Race + HseHldEducationDich + PovStat + CVDclusterdich + DMMclusterdich + PhysBMI + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C",
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -6.726 -2.317 -0.996 2.046 8.687
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 5.020797 0.578377 8.68 < 2e-16
## Gini100C -0.033032 0.026628 -1.24 0.215
## PovStat 0.782237 0.372133 2.10 0.036
## Race -0.348419 0.268912 -1.30 0.195
## I(Gini100C^2) -0.002237 0.002889 -0.77 0.439
## Age0 -0.033724 0.008453 -3.99 0.00006870
## Sex -0.678069 0.146889 -4.62 0.00000417
## HseHldEducationDich -0.831782 0.158949 -5.23 0.00000019
## CVDclusterdich 0.037458 0.383536 0.10 0.922
## DMMclusterdich 0.286254 0.189281 1.51 0.131
## PhysBMI -0.001009 0.009971 -0.10 0.919
## rxPsych 1.764654 0.208370 8.47 < 2e-16
## rxHTN -0.157194 0.191878 -0.82 0.413
## rxDiabetes -0.149045 0.308508 -0.48 0.629
## rxHypercholesterolemia 0.064389 0.260305 0.25 0.805
## SmokingCurr -0.224236 0.184682 -1.21 0.225
## AlcoholCurr 0.190472 0.149345 1.28 0.202
## IllicitDrugCurr 0.371782 0.203687 1.83 0.068
## MedianHouseholdIncome2C 0.063441 0.072334 0.88 0.381
## Gini100C:PovStat 0.013656 0.049690 0.27 0.783
## Gini100C:Race 0.045283 0.037246 1.22 0.224
## PovStat:Race -0.266703 0.435891 -0.61 0.541
## PovStat:I(Gini100C^2) -0.003196 0.005323 -0.60 0.548
## Race:I(Gini100C^2) -0.000806 0.004245 -0.19 0.849
## Gini100C:PovStat:Race -0.023337 0.063956 -0.36 0.715
## PovStat:Race:I(Gini100C^2) 0.005394 0.006644 0.81 0.417
##
## Residual standard error: 3.02 on 1865 degrees of freedom
## Multiple R-squared: 0.115, Adjusted R-squared: 0.103
## F-statistic: 9.65 on 25 and 1865 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 1 : PovStat:Race:I(Gini100C^2)
## --------
##
## -------------STEP 2 -------------
##
## Call:
## lm(formula = acasiPDSQanx ~ Gini100C + PovStat + Race + I(Gini100C^2) +
## Age0 + Sex + HseHldEducationDich + CVDclusterdich + DMMclusterdich +
## PhysBMI + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia +
## SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C +
## Gini100C:PovStat + Gini100C:Race + PovStat:Race + PovStat:I(Gini100C^2) +
## Race:I(Gini100C^2) + Gini100C:PovStat:Race, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -6.602 -2.309 -0.992 2.023 8.662
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 5.048399 0.577324 8.74 < 2e-16
## Gini100C -0.026755 0.025479 -1.05 0.294
## PovStat 0.610309 0.305986 1.99 0.046
## Race -0.442516 0.242636 -1.82 0.068
## I(Gini100C^2) -0.003230 0.002617 -1.23 0.217
## Age0 -0.033341 0.008439 -3.95 0.0000807
## Sex -0.679131 0.146870 -4.62 0.0000040
## HseHldEducationDich -0.829240 0.158904 -5.22 0.0000002
## CVDclusterdich 0.049157 0.383230 0.13 0.898
## DMMclusterdich 0.285819 0.189263 1.51 0.131
## PhysBMI -0.000782 0.009966 -0.08 0.937
## rxPsych 1.762349 0.208331 8.46 < 2e-16
## rxHTN -0.155677 0.191851 -0.81 0.417
## rxDiabetes -0.155550 0.308375 -0.50 0.614
## rxHypercholesterolemia 0.062891 0.260275 0.24 0.809
## SmokingCurr -0.225051 0.184662 -1.22 0.223
## AlcoholCurr 0.189283 0.149324 1.27 0.205
## IllicitDrugCurr 0.371908 0.203669 1.83 0.068
## MedianHouseholdIncome2C 0.063579 0.072327 0.88 0.379
## Gini100C:PovStat -0.004249 0.044525 -0.10 0.924
## Gini100C:Race 0.033474 0.034286 0.98 0.329
## PovStat:Race -0.031213 0.325363 -0.10 0.924
## PovStat:I(Gini100C^2) 0.000268 0.003182 0.08 0.933
## Race:I(Gini100C^2) 0.001385 0.003277 0.42 0.673
## Gini100C:PovStat:Race 0.007222 0.051703 0.14 0.889
##
## Residual standard error: 3.02 on 1866 degrees of freedom
## Multiple R-squared: 0.114, Adjusted R-squared: 0.103
## F-statistic: 10 on 24 and 1866 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 2 : PovStat:I(Gini100C^2)
## --------
##
## -------------STEP 3 -------------
##
## Call:
## lm(formula = acasiPDSQanx ~ Gini100C + PovStat + Race + I(Gini100C^2) +
## Age0 + Sex + HseHldEducationDich + CVDclusterdich + DMMclusterdich +
## PhysBMI + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia +
## SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C +
## Gini100C:PovStat + Gini100C:Race + PovStat:Race + Race:I(Gini100C^2) +
## Gini100C:PovStat:Race, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -6.612 -2.311 -0.994 2.019 8.658
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 5.043779 0.574566 8.78 < 2e-16
## Gini100C -0.027260 0.024760 -1.10 0.271
## PovStat 0.623680 0.261633 2.38 0.017
## Race -0.444134 0.241812 -1.84 0.066
## I(Gini100C^2) -0.003152 0.002447 -1.29 0.198
## Age0 -0.033346 0.008436 -3.95 0.0000801
## Sex -0.679125 0.146831 -4.63 0.0000040
## HseHldEducationDich -0.828793 0.158773 -5.22 0.0000002
## CVDclusterdich 0.049492 0.383108 0.13 0.897
## DMMclusterdich 0.285910 0.189210 1.51 0.131
## PhysBMI -0.000771 0.009962 -0.08 0.938
## rxPsych 1.763161 0.208053 8.47 < 2e-16
## rxHTN -0.155362 0.191763 -0.81 0.418
## rxDiabetes -0.156132 0.308216 -0.51 0.613
## rxHypercholesterolemia 0.063113 0.260193 0.24 0.808
## SmokingCurr -0.225094 0.184612 -1.22 0.223
## AlcoholCurr 0.189258 0.149284 1.27 0.205
## IllicitDrugCurr 0.371667 0.203595 1.83 0.068
## MedianHouseholdIncome2C 0.063326 0.072246 0.88 0.381
## Gini100C:PovStat -0.002860 0.041354 -0.07 0.945
## Gini100C:Race 0.033192 0.034113 0.97 0.331
## PovStat:Race -0.035846 0.320608 -0.11 0.911
## Race:I(Gini100C^2) 0.001473 0.003103 0.47 0.635
## Gini100C:PovStat:Race 0.007586 0.051509 0.15 0.883
##
## Residual standard error: 3.02 on 1867 degrees of freedom
## Multiple R-squared: 0.114, Adjusted R-squared: 0.103
## F-statistic: 10.5 on 23 and 1867 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 3 : Gini100C:PovStat:Race
## --------
##
## -------------STEP 4 -------------
##
## Call:
## lm(formula = acasiPDSQanx ~ Gini100C + PovStat + Race + I(Gini100C^2) +
## Age0 + Sex + HseHldEducationDich + CVDclusterdich + DMMclusterdich +
## PhysBMI + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia +
## SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C +
## Gini100C:PovStat + Gini100C:Race + PovStat:Race + Race:I(Gini100C^2),
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -6.620 -2.305 -0.998 2.014 8.665
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 5.042825 0.574379 8.78 < 2e-16
## Gini100C -0.028478 0.023331 -1.22 0.222
## PovStat 0.634474 0.251093 2.53 0.012
## Race -0.443897 0.241743 -1.84 0.066
## I(Gini100C^2) -0.003122 0.002438 -1.28 0.200
## Age0 -0.033352 0.008434 -3.95 0.00007955
## Sex -0.679541 0.146765 -4.63 0.00000391
## HseHldEducationDich -0.829295 0.158695 -5.23 0.00000019
## CVDclusterdich 0.050675 0.382923 0.13 0.895
## DMMclusterdich 0.285624 0.189150 1.51 0.131
## PhysBMI -0.000777 0.009960 -0.08 0.938
## rxPsych 1.763542 0.207983 8.48 < 2e-16
## rxHTN -0.155438 0.191712 -0.81 0.418
## rxDiabetes -0.154507 0.307938 -0.50 0.616
## rxHypercholesterolemia 0.062921 0.260121 0.24 0.809
## SmokingCurr -0.225591 0.184533 -1.22 0.222
## AlcoholCurr 0.189304 0.149245 1.27 0.205
## IllicitDrugCurr 0.372304 0.203495 1.83 0.067
## MedianHouseholdIncome2C 0.062729 0.072113 0.87 0.384
## Gini100C:PovStat 0.002030 0.024648 0.08 0.934
## Gini100C:Race 0.035538 0.030161 1.18 0.239
## PovStat:Race -0.044208 0.315458 -0.14 0.889
## Race:I(Gini100C^2) 0.001499 0.003097 0.48 0.628
##
## Residual standard error: 3.02 on 1868 degrees of freedom
## Multiple R-squared: 0.114, Adjusted R-squared: 0.104
## F-statistic: 10.9 on 22 and 1868 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 4 : Race:I(Gini100C^2)
## --------
##
## -------------STEP 5 -------------
##
## Call:
## lm(formula = acasiPDSQanx ~ Gini100C + PovStat + Race + I(Gini100C^2) +
## Age0 + Sex + HseHldEducationDich + CVDclusterdich + DMMclusterdich +
## PhysBMI + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia +
## SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C +
## Gini100C:PovStat + Gini100C:Race + PovStat:Race, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -6.589 -2.310 -0.996 2.035 8.682
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.990864 0.564144 8.85 < 2e-16
## Gini100C -0.034484 0.019755 -1.75 0.081
## PovStat 0.638924 0.250874 2.55 0.011
## Race -0.375764 0.196500 -1.91 0.056
## I(Gini100C^2) -0.002198 0.001517 -1.45 0.147
## Age0 -0.033397 0.008432 -3.96 0.00007745
## Sex -0.675975 0.146550 -4.61 0.00000425
## HseHldEducationDich -0.833084 0.158470 -5.26 0.00000016
## CVDclusterdich 0.053246 0.382808 0.14 0.889
## DMMclusterdich 0.293047 0.188489 1.55 0.120
## PhysBMI -0.000635 0.009953 -0.06 0.949
## rxPsych 1.767120 0.207809 8.50 < 2e-16
## rxHTN -0.155618 0.191673 -0.81 0.417
## rxDiabetes -0.162363 0.307447 -0.53 0.597
## rxHypercholesterolemia 0.063375 0.260066 0.24 0.807
## SmokingCurr -0.227355 0.184459 -1.23 0.218
## AlcoholCurr 0.190896 0.149178 1.28 0.201
## IllicitDrugCurr 0.376020 0.203309 1.85 0.065
## MedianHouseholdIncome2C 0.061396 0.072046 0.85 0.394
## Gini100C:PovStat 0.004368 0.024165 0.18 0.857
## Gini100C:Race 0.044382 0.023991 1.85 0.064
## PovStat:Race -0.051732 0.315010 -0.16 0.870
##
## Residual standard error: 3.02 on 1869 degrees of freedom
## Multiple R-squared: 0.114, Adjusted R-squared: 0.104
## F-statistic: 11.5 on 21 and 1869 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 5 : PovStat:Race
## --------
##
## -------------STEP 6 -------------
##
## Call:
## lm(formula = acasiPDSQanx ~ Gini100C + PovStat + Race + I(Gini100C^2) +
## Age0 + Sex + HseHldEducationDich + CVDclusterdich + DMMclusterdich +
## PhysBMI + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia +
## SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C +
## Gini100C:PovStat + Gini100C:Race, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -6.566 -2.315 -0.994 2.051 8.690
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.996757 0.562855 8.88 < 2e-16
## Gini100C -0.034706 0.019703 -1.76 0.078
## PovStat 0.606321 0.153341 3.95 0.00007969
## Race -0.394159 0.161404 -2.44 0.015
## I(Gini100C^2) -0.002181 0.001513 -1.44 0.149
## Age0 -0.033359 0.008426 -3.96 0.00007810
## Sex -0.676184 0.146506 -4.62 0.00000419
## HseHldEducationDich -0.833618 0.158395 -5.26 0.00000016
## CVDclusterdich 0.053368 0.382707 0.14 0.889
## DMMclusterdich 0.292891 0.188437 1.55 0.120
## PhysBMI -0.000531 0.009931 -0.05 0.957
## rxPsych 1.766237 0.207685 8.50 < 2e-16
## rxHTN -0.157005 0.191437 -0.82 0.412
## rxDiabetes -0.160927 0.307243 -0.52 0.600
## rxHypercholesterolemia 0.062184 0.259897 0.24 0.811
## SmokingCurr -0.228215 0.184337 -1.24 0.216
## AlcoholCurr 0.189925 0.149022 1.27 0.203
## IllicitDrugCurr 0.376084 0.203256 1.85 0.064
## MedianHouseholdIncome2C 0.059848 0.071408 0.84 0.402
## Gini100C:PovStat 0.003363 0.023372 0.14 0.886
## Gini100C:Race 0.044648 0.023930 1.87 0.062
##
## Residual standard error: 3.02 on 1870 degrees of freedom
## Multiple R-squared: 0.114, Adjusted R-squared: 0.105
## F-statistic: 12 on 20 and 1870 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 6 : Gini100C:PovStat
## --------
##
## -------------STEP 7 -------------
##
## Call:
## lm(formula = acasiPDSQanx ~ Gini100C + PovStat + Race + I(Gini100C^2) +
## Age0 + Sex + HseHldEducationDich + CVDclusterdich + DMMclusterdich +
## PhysBMI + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia +
## SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C +
## Gini100C:Race, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -6.57 -2.31 -1.00 2.04 8.70
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.993370 0.562215 8.88 < 2e-16
## Gini100C -0.034118 0.019271 -1.77 0.077
## PovStat 0.605042 0.153043 3.95 0.00007991
## Race -0.388992 0.157318 -2.47 0.013
## I(Gini100C^2) -0.002146 0.001493 -1.44 0.151
## Age0 -0.033335 0.008422 -3.96 0.00007842
## Sex -0.676306 0.146466 -4.62 0.00000415
## HseHldEducationDich -0.835440 0.157847 -5.29 0.00000013
## CVDclusterdich 0.053921 0.382588 0.14 0.888
## DMMclusterdich 0.293101 0.188382 1.56 0.120
## PhysBMI -0.000551 0.009927 -0.06 0.956
## rxPsych 1.768209 0.207178 8.53 < 2e-16
## rxHTN -0.157035 0.191387 -0.82 0.412
## rxDiabetes -0.161556 0.307131 -0.53 0.599
## rxHypercholesterolemia 0.062795 0.259795 0.24 0.809
## SmokingCurr -0.228325 0.184287 -1.24 0.216
## AlcoholCurr 0.190374 0.148950 1.28 0.201
## IllicitDrugCurr 0.376256 0.203199 1.85 0.064
## MedianHouseholdIncome2C 0.060209 0.071345 0.84 0.399
## Gini100C:Race 0.045867 0.022376 2.05 0.041
##
## Residual standard error: 3.02 on 1871 degrees of freedom
## Multiple R-squared: 0.114, Adjusted R-squared: 0.105
## F-statistic: 12.7 on 19 and 1871 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 7 : I(Gini100C^2)
## --------
##
## -------------STEP 8 -------------
##
## Call:
## lm(formula = acasiPDSQanx ~ Gini100C + PovStat + Race + Age0 +
## Sex + HseHldEducationDich + CVDclusterdich + DMMclusterdich +
## PhysBMI + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia +
## SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C +
## Gini100C:Race, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -6.472 -2.304 -0.983 2.065 8.606
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.886890 0.557477 8.77 < 2e-16
## Gini100C -0.047310 0.016952 -2.79 0.0053
## PovStat 0.599570 0.153039 3.92 0.000092586
## Race -0.363349 0.156348 -2.32 0.0202
## Age0 -0.033438 0.008424 -3.97 0.000074839
## Sex -0.686183 0.146346 -4.69 0.000002947
## HseHldEducationDich -0.848742 0.157621 -5.38 0.000000082
## CVDclusterdich 0.028771 0.382297 0.08 0.9400
## DMMclusterdich 0.277987 0.188142 1.48 0.1397
## PhysBMI 0.000518 0.009902 0.05 0.9583
## rxPsych 1.753793 0.206995 8.47 < 2e-16
## rxHTN -0.151740 0.191406 -0.79 0.4280
## rxDiabetes -0.138867 0.306813 -0.45 0.6509
## rxHypercholesterolemia 0.057886 0.259846 0.22 0.8237
## SmokingCurr -0.228062 0.184340 -1.24 0.2162
## AlcoholCurr 0.187297 0.148977 1.26 0.2088
## IllicitDrugCurr 0.358772 0.202893 1.77 0.0772
## MedianHouseholdIncome2C 0.040775 0.070074 0.58 0.5607
## Gini100C:Race 0.041675 0.022192 1.88 0.0605
##
## Residual standard error: 3.02 on 1872 degrees of freedom
## Multiple R-squared: 0.113, Adjusted R-squared: 0.105
## F-statistic: 13.3 on 18 and 1872 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 8 : Gini100C:Race
## --------
##
## -------------STEP 9 -------------
##
## Call:
## lm(formula = acasiPDSQanx ~ Gini100C + PovStat + Race + Age0 +
## Sex + HseHldEducationDich + CVDclusterdich + DMMclusterdich +
## PhysBMI + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia +
## SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C,
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -6.54 -2.29 -1.04 2.03 8.50
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.87207 0.55780 8.73 < 2e-16
## Gini100C -0.02367 0.01136 -2.08 0.03735
## PovStat 0.64232 0.15144 4.24 0.000023294
## Race -0.39003 0.15581 -2.50 0.01239
## Age0 -0.03263 0.00842 -3.88 0.00011
## Sex -0.67184 0.14625 -4.59 0.000004640
## HseHldEducationDich -0.86999 0.15732 -5.53 0.000000037
## CVDclusterdich 0.03917 0.38251 0.10 0.91845
## DMMclusterdich 0.27450 0.18826 1.46 0.14499
## PhysBMI 0.00115 0.00990 0.12 0.90769
## rxPsych 1.75798 0.20712 8.49 < 2e-16
## rxHTN -0.16112 0.19147 -0.84 0.40017
## rxDiabetes -0.13038 0.30699 -0.42 0.67110
## rxHypercholesterolemia 0.05518 0.26002 0.21 0.83196
## SmokingCurr -0.23468 0.18443 -1.27 0.20337
## AlcoholCurr 0.17388 0.14891 1.17 0.24306
## IllicitDrugCurr 0.37037 0.20294 1.83 0.06815
## MedianHouseholdIncome2C 0.02874 0.06983 0.41 0.68073
##
## Residual standard error: 3.02 on 1873 degrees of freedom
## Multiple R-squared: 0.111, Adjusted R-squared: 0.103
## F-statistic: 13.8 on 17 and 1873 DF, p-value: <2e-16
##
## ***************** END Backward Elimination: acasiPDSQanx *****************************
##
##
## ************************************************************
## ************************************************************
## BEGIN: acasiPerStr
## ************************************************************
## ************************************************************
## -------------STEP 1 -------------
##
## Call:
## lm(formula = "acasiPerStr ~ Gini100C*PovStat*Race + I(Gini100C^2)*PovStat*Race + Age0 + Sex + Race + HseHldEducationDich + PovStat + CVDclusterdich + DMMclusterdich + PhysBMI + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C",
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -7.673 -2.306 -0.137 2.173 11.283
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 7.204552 0.606334 11.88 < 2e-16
## Gini100C -0.005327 0.027915 -0.19 0.849
## PovStat 1.001463 0.390121 2.57 0.010
## Race -0.339162 0.281911 -1.20 0.229
## I(Gini100C^2) -0.004571 0.003029 -1.51 0.131
## Age0 -0.017008 0.008861 -1.92 0.055
## Sex -0.097465 0.153989 -0.63 0.527
## HseHldEducationDich -0.998579 0.166633 -5.99 0.0000000025
## CVDclusterdich 0.668666 0.402075 1.66 0.096
## DMMclusterdich -0.062275 0.198430 -0.31 0.754
## PhysBMI -0.014236 0.010453 -1.36 0.173
## rxPsych 1.182329 0.218442 5.41 0.0000000702
## rxHTN -0.265767 0.201152 -1.32 0.187
## rxDiabetes 0.418120 0.323420 1.29 0.196
## rxHypercholesterolemia -0.264295 0.272888 -0.97 0.333
## SmokingCurr -0.458148 0.193609 -2.37 0.018
## AlcoholCurr 0.284939 0.156564 1.82 0.069
## IllicitDrugCurr 0.383004 0.213533 1.79 0.073
## MedianHouseholdIncome2C -0.011260 0.075830 -0.15 0.882
## Gini100C:PovStat -0.000532 0.052092 -0.01 0.992
## Gini100C:Race 0.013203 0.039047 0.34 0.735
## PovStat:Race -0.534939 0.456961 -1.17 0.242
## PovStat:I(Gini100C^2) 0.000830 0.005580 0.15 0.882
## Race:I(Gini100C^2) -0.000111 0.004450 -0.02 0.980
## Gini100C:PovStat:Race -0.001798 0.067047 -0.03 0.979
## PovStat:Race:I(Gini100C^2) 0.002215 0.006965 0.32 0.750
##
## Residual standard error: 3.17 on 1865 degrees of freedom
## Multiple R-squared: 0.0903, Adjusted R-squared: 0.0781
## F-statistic: 7.41 on 25 and 1865 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 1 : PovStat:Race:I(Gini100C^2)
## --------
##
## -------------STEP 2 -------------
##
## Call:
## lm(formula = acasiPerStr ~ Gini100C + PovStat + Race + I(Gini100C^2) +
## Age0 + Sex + HseHldEducationDich + CVDclusterdich + DMMclusterdich +
## PhysBMI + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia +
## SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C +
## Gini100C:PovStat + Gini100C:Race + PovStat:Race + PovStat:I(Gini100C^2) +
## Race:I(Gini100C^2) + Gini100C:PovStat:Race, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -7.640 -2.304 -0.148 2.182 11.286
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 7.215888 0.605140 11.92 < 2e-16
## Gini100C -0.002749 0.026706 -0.10 0.9180
## PovStat 0.930853 0.320728 2.90 0.0037
## Race -0.377807 0.254327 -1.49 0.1376
## I(Gini100C^2) -0.004979 0.002743 -1.82 0.0696
## Age0 -0.016850 0.008845 -1.91 0.0569
## Sex -0.097902 0.153946 -0.64 0.5249
## HseHldEducationDich -0.997535 0.166560 -5.99 0.0000000025
## CVDclusterdich 0.673470 0.401695 1.68 0.0938
## DMMclusterdich -0.062453 0.198382 -0.31 0.7529
## PhysBMI -0.014143 0.010446 -1.35 0.1759
## rxPsych 1.181383 0.218369 5.41 0.0000000711
## rxHTN -0.265144 0.201094 -1.32 0.1875
## rxDiabetes 0.415449 0.323233 1.29 0.1989
## rxHypercholesterolemia -0.264910 0.272815 -0.97 0.3317
## SmokingCurr -0.458482 0.193559 -2.37 0.0180
## AlcoholCurr 0.284450 0.156519 1.82 0.0693
## IllicitDrugCurr 0.383056 0.213482 1.79 0.0729
## MedianHouseholdIncome2C -0.011204 0.075812 -0.15 0.8825
## Gini100C:PovStat -0.007886 0.046670 -0.17 0.8658
## Gini100C:Race 0.008353 0.035938 0.23 0.8162
## PovStat:Race -0.438225 0.341040 -1.28 0.1990
## PovStat:I(Gini100C^2) 0.002253 0.003335 0.68 0.4995
## Race:I(Gini100C^2) 0.000789 0.003435 0.23 0.8184
## Gini100C:PovStat:Race 0.010752 0.054195 0.20 0.8428
##
## Residual standard error: 3.17 on 1866 degrees of freedom
## Multiple R-squared: 0.0903, Adjusted R-squared: 0.0786
## F-statistic: 7.71 on 24 and 1866 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 2 : Gini100C:PovStat:Race
## --------
##
## -------------STEP 3 -------------
##
## Call:
## lm(formula = acasiPerStr ~ Gini100C + PovStat + Race + I(Gini100C^2) +
## Age0 + Sex + HseHldEducationDich + CVDclusterdich + DMMclusterdich +
## PhysBMI + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia +
## SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C +
## Gini100C:PovStat + Gini100C:Race + PovStat:Race + PovStat:I(Gini100C^2) +
## Race:I(Gini100C^2), data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -7.641 -2.305 -0.146 2.182 11.269
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 7.215497 0.604981 11.93 < 2e-16
## Gini100C -0.004359 0.025436 -0.17 0.8639
## PovStat 0.943288 0.314464 3.00 0.0027
## Race -0.377139 0.254239 -1.48 0.1381
## I(Gini100C^2) -0.004953 0.002739 -1.81 0.0707
## Age0 -0.016858 0.008843 -1.91 0.0568
## Sex -0.098489 0.153878 -0.64 0.5222
## HseHldEducationDich -0.998334 0.166469 -6.00 0.0000000024
## CVDclusterdich 0.675067 0.401511 1.68 0.0929
## DMMclusterdich -0.062875 0.198319 -0.32 0.7512
## PhysBMI -0.014154 0.010443 -1.36 0.1755
## rxPsych 1.181751 0.218305 5.41 0.0000000699
## rxHTN -0.265316 0.201041 -1.32 0.1871
## rxDiabetes 0.417855 0.322922 1.29 0.1958
## rxHypercholesterolemia -0.265226 0.272741 -0.97 0.3310
## SmokingCurr -0.459173 0.193478 -2.37 0.0177
## AlcoholCurr 0.284520 0.156478 1.82 0.0692
## IllicitDrugCurr 0.384001 0.213374 1.80 0.0721
## MedianHouseholdIncome2C -0.011992 0.075688 -0.16 0.8741
## Gini100C:PovStat -0.001290 0.032747 -0.04 0.9686
## Gini100C:Race 0.011712 0.031692 0.37 0.7118
## PovStat:Race -0.449039 0.336569 -1.33 0.1823
## PovStat:I(Gini100C^2) 0.002308 0.003323 0.69 0.4874
## Race:I(Gini100C^2) 0.000807 0.003433 0.23 0.8143
##
## Residual standard error: 3.17 on 1867 degrees of freedom
## Multiple R-squared: 0.0902, Adjusted R-squared: 0.079
## F-statistic: 8.05 on 23 and 1867 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 3 : Race:I(Gini100C^2)
## --------
##
## -------------STEP 4 -------------
##
## Call:
## lm(formula = acasiPerStr ~ Gini100C + PovStat + Race + I(Gini100C^2) +
## Age0 + Sex + HseHldEducationDich + CVDclusterdich + DMMclusterdich +
## PhysBMI + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia +
## SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C +
## Gini100C:PovStat + Gini100C:Race + PovStat:Race + PovStat:I(Gini100C^2),
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -7.623 -2.300 -0.142 2.200 11.267
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 7.19489 0.59844 12.02 < 2e-16
## Gini100C -0.00672 0.02336 -0.29 0.7737
## PovStat 0.93231 0.31089 3.00 0.0027
## Race -0.34282 0.20806 -1.65 0.0996
## I(Gini100C^2) -0.00458 0.00224 -2.04 0.0410
## Age0 -0.01687 0.00884 -1.91 0.0564
## Sex -0.09676 0.15366 -0.63 0.5290
## HseHldEducationDich -1.00056 0.16616 -6.02 0.0000000021
## CVDclusterdich 0.67593 0.40139 1.68 0.0924
## DMMclusterdich -0.05937 0.19771 -0.30 0.7640
## PhysBMI -0.01410 0.01044 -1.35 0.1770
## rxPsych 1.18269 0.21821 5.42 0.0000000674
## rxHTN -0.26570 0.20098 -1.32 0.1863
## rxDiabetes 0.41455 0.32253 1.29 0.1989
## rxHypercholesterolemia -0.26521 0.27267 -0.97 0.3309
## SmokingCurr -0.45996 0.19340 -2.38 0.0175
## AlcoholCurr 0.28531 0.15640 1.82 0.0683
## IllicitDrugCurr 0.38599 0.21315 1.81 0.0703
## MedianHouseholdIncome2C -0.01237 0.07565 -0.16 0.8702
## Gini100C:PovStat -0.00170 0.03269 -0.05 0.9586
## Gini100C:Race 0.01613 0.02551 0.63 0.5272
## PovStat:Race -0.44791 0.33645 -1.33 0.1833
## PovStat:I(Gini100C^2) 0.00256 0.00314 0.82 0.4150
##
## Residual standard error: 3.17 on 1868 degrees of freedom
## Multiple R-squared: 0.0902, Adjusted R-squared: 0.0795
## F-statistic: 8.42 on 22 and 1868 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 4 : PovStat:I(Gini100C^2)
## --------
##
## -------------STEP 5 -------------
##
## Call:
## lm(formula = acasiPerStr ~ Gini100C + PovStat + Race + I(Gini100C^2) +
## Age0 + Sex + HseHldEducationDich + CVDclusterdich + DMMclusterdich +
## PhysBMI + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia +
## SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C +
## Gini100C:PovStat + Gini100C:Race + PovStat:Race, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -7.663 -2.310 -0.144 2.192 11.264
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 7.12057 0.59140 12.04 < 2e-16
## Gini100C -0.01554 0.02071 -0.75 0.453
## PovStat 1.06744 0.26300 4.06 0.0000513615
## Race -0.31911 0.20599 -1.55 0.122
## I(Gini100C^2) -0.00330 0.00159 -2.07 0.038
## Age0 -0.01695 0.00884 -1.92 0.055
## Sex -0.09485 0.15363 -0.62 0.537
## HseHldEducationDich -0.99869 0.16613 -6.01 0.0000000022
## CVDclusterdich 0.68115 0.40131 1.70 0.090
## DMMclusterdich -0.05438 0.19760 -0.28 0.783
## PhysBMI -0.01391 0.01043 -1.33 0.183
## rxPsych 1.19266 0.21785 5.47 0.0000000498
## rxHTN -0.26282 0.20093 -1.31 0.191
## rxDiabetes 0.40524 0.32230 1.26 0.209
## rxHypercholesterolemia -0.26292 0.27263 -0.96 0.335
## SmokingCurr -0.46161 0.19337 -2.39 0.017
## AlcoholCurr 0.28601 0.15639 1.83 0.068
## IllicitDrugCurr 0.38611 0.21313 1.81 0.070
## MedianHouseholdIncome2C -0.01582 0.07553 -0.21 0.834
## Gini100C:PovStat 0.01514 0.02533 0.60 0.550
## Gini100C:Race 0.01958 0.02515 0.78 0.436
## PovStat:Race -0.50027 0.33023 -1.51 0.130
##
## Residual standard error: 3.17 on 1869 degrees of freedom
## Multiple R-squared: 0.0899, Adjusted R-squared: 0.0797
## F-statistic: 8.79 on 21 and 1869 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 5 : Gini100C:PovStat
## --------
##
## -------------STEP 6 -------------
##
## Call:
## lm(formula = acasiPerStr ~ Gini100C + PovStat + Race + I(Gini100C^2) +
## Age0 + Sex + HseHldEducationDich + CVDclusterdich + DMMclusterdich +
## PhysBMI + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia +
## SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C +
## Gini100C:Race + PovStat:Race, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -7.657 -2.313 -0.137 2.198 11.195
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 7.11199 0.59113 12.03 < 2e-16
## Gini100C -0.01327 0.02036 -0.65 0.514
## PovStat 1.03056 0.25561 4.03 0.0000575917
## Race -0.31510 0.20585 -1.53 0.126
## I(Gini100C^2) -0.00313 0.00157 -2.00 0.046
## Age0 -0.01682 0.00883 -1.90 0.057
## Sex -0.09556 0.15360 -0.62 0.534
## HseHldEducationDich -1.00688 0.16553 -6.08 0.0000000014
## CVDclusterdich 0.68360 0.40122 1.70 0.089
## DMMclusterdich -0.05365 0.19756 -0.27 0.786
## PhysBMI -0.01390 0.01043 -1.33 0.183
## rxPsych 1.20012 0.21746 5.52 0.0000000389
## rxHTN -0.26429 0.20088 -1.32 0.188
## rxDiabetes 0.40398 0.32224 1.25 0.210
## rxHypercholesterolemia -0.26149 0.27258 -0.96 0.338
## SmokingCurr -0.46290 0.19333 -2.39 0.017
## AlcoholCurr 0.28697 0.15635 1.84 0.067
## IllicitDrugCurr 0.38690 0.21309 1.82 0.070
## MedianHouseholdIncome2C -0.01579 0.07551 -0.21 0.834
## Gini100C:Race 0.02497 0.02347 1.06 0.288
## PovStat:Race -0.45030 0.31942 -1.41 0.159
##
## Residual standard error: 3.17 on 1870 degrees of freedom
## Multiple R-squared: 0.0897, Adjusted R-squared: 0.08
## F-statistic: 9.21 on 20 and 1870 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 6 : Gini100C:Race
## --------
##
## -------------STEP 7 -------------
##
## Call:
## lm(formula = acasiPerStr ~ Gini100C + PovStat + Race + I(Gini100C^2) +
## Age0 + Sex + HseHldEducationDich + CVDclusterdich + DMMclusterdich +
## PhysBMI + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia +
## SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C +
## PovStat:Race, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -7.667 -2.333 -0.156 2.174 11.301
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 7.093676 0.590898 12.00 < 2e-16
## Gini100C -0.000757 0.016614 -0.05 0.964
## PovStat 1.049718 0.254986 4.12 0.00004009355
## Race -0.331596 0.205273 -1.62 0.106
## I(Gini100C^2) -0.002913 0.001552 -1.88 0.061
## Age0 -0.016344 0.008824 -1.85 0.064
## Sex -0.088146 0.153447 -0.57 0.566
## HseHldEducationDich -1.020732 0.165025 -6.19 0.00000000076
## CVDclusterdich 0.687169 0.401215 1.71 0.087
## DMMclusterdich -0.057265 0.197536 -0.29 0.772
## PhysBMI -0.013399 0.010422 -1.29 0.199
## rxPsych 1.200883 0.217462 5.52 0.00000003814
## rxHTN -0.269513 0.200832 -1.34 0.180
## rxDiabetes 0.411540 0.322174 1.28 0.202
## rxHypercholesterolemia -0.263811 0.272576 -0.97 0.333
## SmokingCurr -0.466908 0.193297 -2.42 0.016
## AlcoholCurr 0.278571 0.156158 1.78 0.075
## IllicitDrugCurr 0.391958 0.213047 1.84 0.066
## MedianHouseholdIncome2C -0.025122 0.075006 -0.33 0.738
## PovStat:Race -0.441545 0.319328 -1.38 0.167
##
## Residual standard error: 3.17 on 1871 degrees of freedom
## Multiple R-squared: 0.0892, Adjusted R-squared: 0.0799
## F-statistic: 9.64 on 19 and 1871 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 7 : PovStat:Race
## --------
##
## -------------STEP 8 -------------
##
## Call:
## lm(formula = acasiPerStr ~ Gini100C + PovStat + Race + I(Gini100C^2) +
## Age0 + Sex + HseHldEducationDich + CVDclusterdich + DMMclusterdich +
## PhysBMI + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia +
## SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C,
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -7.496 -2.340 -0.147 2.180 11.422
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 7.15326 0.58947 12.14 < 2e-16
## Gini100C -0.00457 0.01639 -0.28 0.7804
## PovStat 0.77389 0.15886 4.87 0.00000120097
## Race -0.50134 0.16456 -3.05 0.0023
## I(Gini100C^2) -0.00287 0.00155 -1.85 0.0649
## Age0 -0.01609 0.00882 -1.82 0.0684
## Sex -0.08987 0.15348 -0.59 0.5582
## HseHldEducationDich -1.02019 0.16507 -6.18 0.00000000078
## CVDclusterdich 0.68668 0.40131 1.71 0.0872
## DMMclusterdich -0.05902 0.19758 -0.30 0.7652
## PhysBMI -0.01248 0.01040 -1.20 0.2305
## rxPsych 1.18829 0.21732 5.47 0.00000005168
## rxHTN -0.28111 0.20071 -1.40 0.1615
## rxDiabetes 0.42516 0.32210 1.32 0.1870
## rxHypercholesterolemia -0.27547 0.27251 -1.01 0.3122
## SmokingCurr -0.47384 0.19328 -2.45 0.0143
## AlcoholCurr 0.26941 0.15606 1.73 0.0844
## IllicitDrugCurr 0.39190 0.21310 1.84 0.0661
## MedianHouseholdIncome2C -0.03895 0.07435 -0.52 0.6004
##
## Residual standard error: 3.17 on 1872 degrees of freedom
## Multiple R-squared: 0.0882, Adjusted R-squared: 0.0795
## F-statistic: 10.1 on 18 and 1872 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 8 : I(Gini100C^2)
## --------
##
## -------------STEP 9 -------------
##
## Call:
## lm(formula = acasiPerStr ~ Gini100C + PovStat + Race + Age0 +
## Sex + HseHldEducationDich + CVDclusterdich + DMMclusterdich +
## PhysBMI + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia +
## SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C,
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -7.419 -2.345 -0.149 2.186 11.519
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 7.01304 0.58493 11.99 < 2e-16
## Gini100C -0.02536 0.01191 -2.13 0.0334
## PovStat 0.76084 0.15881 4.79 0.00000179032
## Race -0.46351 0.16339 -2.84 0.0046
## Age0 -0.01633 0.00883 -1.85 0.0644
## Sex -0.10499 0.15336 -0.68 0.4937
## HseHldEducationDich -1.03510 0.16497 -6.27 0.00000000043
## CVDclusterdich 0.65169 0.40112 1.62 0.1044
## DMMclusterdich -0.07874 0.19742 -0.40 0.6901
## PhysBMI -0.01114 0.01038 -1.07 0.2837
## rxPsych 1.16847 0.21720 5.38 0.00000008396
## rxHTN -0.27278 0.20078 -1.36 0.1744
## rxDiabetes 0.45432 0.32192 1.41 0.1583
## rxHypercholesterolemia -0.28166 0.27267 -1.03 0.3017
## SmokingCurr -0.47261 0.19340 -2.44 0.0146
## AlcoholCurr 0.26710 0.15615 1.71 0.0873
## IllicitDrugCurr 0.36699 0.21281 1.72 0.0848
## MedianHouseholdIncome2C -0.06329 0.07322 -0.86 0.3875
##
## Residual standard error: 3.17 on 1873 degrees of freedom
## Multiple R-squared: 0.0866, Adjusted R-squared: 0.0783
## F-statistic: 10.4 on 17 and 1873 DF, p-value: <2e-16
##
## ***************** END Backward Elimination: acasiPerStr *****************************
##
##
## ************************************************************
## ************************************************************
## BEGIN: acasiAnger
## ************************************************************
## ************************************************************
## -------------STEP 1 -------------
##
## Call:
## lm(formula = "acasiAnger ~ Gini100C*PovStat*Race + I(Gini100C^2)*PovStat*Race + Age0 + Sex + Race + HseHldEducationDich + PovStat + CVDclusterdich + DMMclusterdich + PhysBMI + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C",
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -13.671 -4.784 -0.638 4.098 20.509
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 13.64300 1.17325 11.63 < 2e-16
## Gini100C -0.11498 0.05402 -2.13 0.03341
## PovStat 1.71932 0.75488 2.28 0.02286
## Race -0.55454 0.54550 -1.02 0.30948
## I(Gini100C^2) 0.00706 0.00586 1.21 0.22824
## Age0 -0.07643 0.01715 -4.46 0.00000878
## Sex -0.09666 0.29797 -0.32 0.74569
## HseHldEducationDich -1.70632 0.32243 -5.29 0.00000014
## CVDclusterdich 0.40236 0.77801 0.52 0.60511
## DMMclusterdich 0.05160 0.38396 0.13 0.89311
## PhysBMI 0.01730 0.02023 0.86 0.39260
## rxPsych 1.63053 0.42268 3.86 0.00012
## rxHTN -0.37241 0.38923 -0.96 0.33879
## rxDiabetes 0.68385 0.62582 1.09 0.27465
## rxHypercholesterolemia 0.20083 0.52804 0.38 0.70374
## SmokingCurr -0.45989 0.37463 -1.23 0.21976
## AlcoholCurr 0.40502 0.30295 1.34 0.18141
## IllicitDrugCurr 1.20229 0.41319 2.91 0.00366
## MedianHouseholdIncome2C -0.09133 0.14673 -0.62 0.53373
## Gini100C:PovStat 0.08598 0.10080 0.85 0.39377
## Gini100C:Race 0.09934 0.07556 1.31 0.18874
## PovStat:Race -1.32650 0.88422 -1.50 0.13373
## PovStat:I(Gini100C^2) -0.01023 0.01080 -0.95 0.34348
## Race:I(Gini100C^2) -0.01305 0.00861 -1.52 0.12987
## Gini100C:PovStat:Race -0.09749 0.12974 -0.75 0.45247
## PovStat:Race:I(Gini100C^2) 0.01745 0.01348 1.29 0.19556
##
## Residual standard error: 6.14 on 1865 degrees of freedom
## Multiple R-squared: 0.0757, Adjusted R-squared: 0.0633
## F-statistic: 6.11 on 25 and 1865 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 1 : PovStat:Race:I(Gini100C^2)
## --------
##
## -------------STEP 2 -------------
##
## Call:
## lm(formula = acasiAnger ~ Gini100C + PovStat + Race + I(Gini100C^2) +
## Age0 + Sex + HseHldEducationDich + CVDclusterdich + DMMclusterdich +
## PhysBMI + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia +
## SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C +
## Gini100C:PovStat + Gini100C:Race + PovStat:Race + PovStat:I(Gini100C^2) +
## Race:I(Gini100C^2) + Gini100C:PovStat:Race, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -13.275 -4.808 -0.653 4.096 20.507
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 13.732289 1.171436 11.72 < 2e-16
## Gini100C -0.094679 0.051698 -1.83 0.06720
## PovStat 1.163157 0.620869 1.87 0.06116
## Race -0.858931 0.492328 -1.74 0.08121
## I(Gini100C^2) 0.003850 0.005310 0.73 0.46851
## Age0 -0.075192 0.017123 -4.39 0.00001190
## Sex -0.100091 0.298010 -0.34 0.73701
## HseHldEducationDich -1.698102 0.322429 -5.27 0.00000016
## CVDclusterdich 0.440200 0.777604 0.57 0.57140
## DMMclusterdich 0.050192 0.384030 0.13 0.89603
## PhysBMI 0.018032 0.020222 0.89 0.37267
## rxPsych 1.623075 0.422720 3.84 0.00013
## rxHTN -0.367508 0.389281 -0.94 0.34526
## rxDiabetes 0.662811 0.625718 1.06 0.28961
## rxHypercholesterolemia 0.195985 0.528119 0.37 0.71061
## SmokingCurr -0.462522 0.374694 -1.23 0.21721
## AlcoholCurr 0.401171 0.302991 1.32 0.18565
## IllicitDrugCurr 1.202701 0.413260 2.91 0.00365
## MedianHouseholdIncome2C -0.090884 0.146758 -0.62 0.53581
## Gini100C:PovStat 0.028059 0.090344 0.31 0.75616
## Gini100C:Race 0.061139 0.069569 0.88 0.37961
## PovStat:Race -0.564718 0.660188 -0.86 0.39244
## PovStat:I(Gini100C^2) 0.000975 0.006457 0.15 0.87995
## Race:I(Gini100C^2) -0.005962 0.006649 -0.90 0.37002
## Gini100C:PovStat:Race 0.001365 0.104910 0.01 0.98962
##
## Residual standard error: 6.14 on 1866 degrees of freedom
## Multiple R-squared: 0.0748, Adjusted R-squared: 0.0629
## F-statistic: 6.29 on 24 and 1866 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 2 : Gini100C:PovStat:Race
## --------
##
## -------------STEP 3 -------------
##
## Call:
## lm(formula = acasiAnger ~ Gini100C + PovStat + Race + I(Gini100C^2) +
## Age0 + Sex + HseHldEducationDich + CVDclusterdich + DMMclusterdich +
## PhysBMI + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia +
## SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C +
## Gini100C:PovStat + Gini100C:Race + PovStat:Race + PovStat:I(Gini100C^2) +
## Race:I(Gini100C^2), data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -13.277 -4.808 -0.652 4.096 20.508
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 13.732239 1.171116 11.73 < 2e-16
## Gini100C -0.094884 0.049239 -1.93 0.05413
## PovStat 1.164735 0.608736 1.91 0.05585
## Race -0.858846 0.492153 -1.75 0.08114
## I(Gini100C^2) 0.003853 0.005302 0.73 0.46749
## Age0 -0.075193 0.017118 -4.39 0.00001183
## Sex -0.100165 0.297876 -0.34 0.73671
## HseHldEducationDich -1.698203 0.322248 -5.27 0.00000015
## CVDclusterdich 0.440402 0.777240 0.57 0.57104
## DMMclusterdich 0.050138 0.383905 0.13 0.89610
## PhysBMI 0.018030 0.020216 0.89 0.37257
## rxPsych 1.623122 0.422592 3.84 0.00013
## rxHTN -0.367529 0.389173 -0.94 0.34509
## rxDiabetes 0.663116 0.625110 1.06 0.28892
## rxHypercholesterolemia 0.195944 0.527968 0.37 0.71058
## SmokingCurr -0.462609 0.374533 -1.24 0.21693
## AlcoholCurr 0.401180 0.302909 1.32 0.18552
## IllicitDrugCurr 1.202821 0.413046 2.91 0.00363
## MedianHouseholdIncome2C -0.090984 0.146516 -0.62 0.53469
## Gini100C:PovStat 0.028896 0.063391 0.46 0.64856
## Gini100C:Race 0.061565 0.061349 1.00 0.31574
## PovStat:Race -0.566091 0.651526 -0.87 0.38503
## PovStat:I(Gini100C^2) 0.000982 0.006432 0.15 0.87864
## Race:I(Gini100C^2) -0.005960 0.006645 -0.90 0.36991
##
## Residual standard error: 6.14 on 1867 degrees of freedom
## Multiple R-squared: 0.0748, Adjusted R-squared: 0.0634
## F-statistic: 6.57 on 23 and 1867 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 3 : PovStat:I(Gini100C^2)
## --------
##
## -------------STEP 4 -------------
##
## Call:
## lm(formula = acasiAnger ~ Gini100C + PovStat + Race + I(Gini100C^2) +
## Age0 + Sex + HseHldEducationDich + CVDclusterdich + DMMclusterdich +
## PhysBMI + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia +
## SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C +
## Gini100C:PovStat + Gini100C:Race + PovStat:Race + Race:I(Gini100C^2),
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -13.309 -4.791 -0.651 4.089 20.511
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 13.71516 1.16546 11.77 < 2e-16
## Gini100C -0.09694 0.04734 -2.05 0.04072
## PovStat 1.21558 0.50949 2.39 0.01714
## Race -0.86473 0.49051 -1.76 0.07808
## I(Gini100C^2) 0.00414 0.00495 0.84 0.40232
## Age0 -0.07521 0.01711 -4.40 0.00001170
## Sex -0.10022 0.29780 -0.34 0.73651
## HseHldEducationDich -1.69665 0.32200 -5.27 0.00000015
## CVDclusterdich 0.44184 0.77698 0.57 0.56966
## DMMclusterdich 0.05042 0.38380 0.13 0.89550
## PhysBMI 0.01807 0.02021 0.89 0.37138
## rxPsych 1.62616 0.42201 3.85 0.00012
## rxHTN -0.36639 0.38900 -0.94 0.34638
## rxDiabetes 0.66127 0.62483 1.06 0.29004
## rxHypercholesterolemia 0.19672 0.52781 0.37 0.70940
## SmokingCurr -0.46285 0.37443 -1.24 0.21656
## AlcoholCurr 0.40110 0.30283 1.32 0.18550
## IllicitDrugCurr 1.20205 0.41291 2.91 0.00364
## MedianHouseholdIncome2C -0.09201 0.14632 -0.63 0.52953
## Gini100C:PovStat 0.03484 0.05001 0.70 0.48611
## Gini100C:Race 0.06094 0.06120 1.00 0.31945
## PovStat:Race -0.58452 0.64009 -0.91 0.36126
## Race:I(Gini100C^2) -0.00563 0.00628 -0.90 0.37035
##
## Residual standard error: 6.13 on 1868 degrees of freedom
## Multiple R-squared: 0.0748, Adjusted R-squared: 0.0639
## F-statistic: 6.87 on 22 and 1868 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 4 : Race:I(Gini100C^2)
## --------
##
## -------------STEP 5 -------------
##
## Call:
## lm(formula = acasiAnger ~ Gini100C + PovStat + Race + I(Gini100C^2) +
## Age0 + Sex + HseHldEducationDich + CVDclusterdich + DMMclusterdich +
## PhysBMI + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia +
## SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C +
## Gini100C:PovStat + Gini100C:Race + PovStat:Race, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -13.426 -4.820 -0.664 4.110 20.528
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 13.910323 1.144865 12.15 < 2e-16
## Gini100C -0.074386 0.040090 -1.86 0.06368
## PovStat 1.198868 0.509119 2.35 0.01864
## Race -1.120636 0.398774 -2.81 0.00500
## I(Gini100C^2) 0.000674 0.003078 0.22 0.82674
## Age0 -0.075043 0.017111 -4.39 0.00001221
## Sex -0.113611 0.297406 -0.38 0.70250
## HseHldEducationDich -1.682426 0.321596 -5.23 0.00000019
## CVDclusterdich 0.432180 0.776864 0.56 0.57806
## DMMclusterdich 0.022537 0.382516 0.06 0.95302
## PhysBMI 0.017535 0.020199 0.87 0.38545
## rxPsych 1.612719 0.421724 3.82 0.00014
## rxHTN -0.365712 0.388978 -0.94 0.34724
## rxDiabetes 0.690780 0.623929 1.11 0.26837
## rxHypercholesterolemia 0.195017 0.527774 0.37 0.71179
## SmokingCurr -0.456227 0.374339 -1.22 0.22309
## AlcoholCurr 0.395119 0.302740 1.31 0.19200
## IllicitDrugCurr 1.188094 0.412592 2.88 0.00403
## MedianHouseholdIncome2C -0.087009 0.146209 -0.60 0.55185
## Gini100C:PovStat 0.026062 0.049041 0.53 0.59519
## Gini100C:Race 0.027725 0.048688 0.57 0.56912
## PovStat:Race -0.556259 0.639276 -0.87 0.38434
##
## Residual standard error: 6.13 on 1869 degrees of freedom
## Multiple R-squared: 0.0744, Adjusted R-squared: 0.064
## F-statistic: 7.16 on 21 and 1869 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 5 : I(Gini100C^2)
## --------
##
## -------------STEP 6 -------------
##
## Call:
## lm(formula = acasiAnger ~ Gini100C + PovStat + Race + Age0 +
## Sex + HseHldEducationDich + CVDclusterdich + DMMclusterdich +
## PhysBMI + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia +
## SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C +
## Gini100C:PovStat + Gini100C:Race + PovStat:Race, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -13.473 -4.809 -0.677 4.119 20.530
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 13.9433 1.1346 12.29 < 2e-16
## Gini100C -0.0706 0.0362 -1.95 0.05127
## PovStat 1.2071 0.5076 2.38 0.01750
## Race -1.1277 0.3974 -2.84 0.00459
## Age0 -0.0750 0.0171 -4.39 0.00001219
## Sex -0.1105 0.2970 -0.37 0.70987
## HseHldEducationDich -1.6774 0.3207 -5.23 0.00000019
## CVDclusterdich 0.4395 0.7759 0.57 0.57115
## DMMclusterdich 0.0271 0.3819 0.07 0.94351
## PhysBMI 0.0172 0.0201 0.85 0.39309
## rxPsych 1.6163 0.4213 3.84 0.00013
## rxHTN -0.3671 0.3888 -0.94 0.34529
## rxDiabetes 0.6839 0.6230 1.10 0.27242
## rxHypercholesterolemia 0.1964 0.5276 0.37 0.70971
## SmokingCurr -0.4561 0.3742 -1.22 0.22311
## AlcoholCurr 0.3960 0.3026 1.31 0.19085
## IllicitDrugCurr 1.1933 0.4118 2.90 0.00380
## MedianHouseholdIncome2C -0.0810 0.1436 -0.56 0.57272
## Gini100C:PovStat 0.0279 0.0483 0.58 0.56323
## Gini100C:Race 0.0283 0.0486 0.58 0.55974
## PovStat:Race -0.5657 0.6377 -0.89 0.37511
##
## Residual standard error: 6.13 on 1870 degrees of freedom
## Multiple R-squared: 0.0744, Adjusted R-squared: 0.0645
## F-statistic: 7.52 on 20 and 1870 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 6 : Gini100C:PovStat
## --------
##
## -------------STEP 7 -------------
##
## Call:
## lm(formula = acasiAnger ~ Gini100C + PovStat + Race + Age0 +
## Sex + HseHldEducationDich + CVDclusterdich + DMMclusterdich +
## PhysBMI + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia +
## SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C +
## Gini100C:Race + PovStat:Race, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -13.426 -4.854 -0.636 4.128 20.588
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 13.9423 1.1344 12.29 < 2e-16
## Gini100C -0.0646 0.0347 -1.86 0.06259
## PovStat 1.1408 0.4944 2.31 0.02113
## Race -1.1233 0.3972 -2.83 0.00474
## Age0 -0.0748 0.0171 -4.37 0.00001293
## Sex -0.1104 0.2969 -0.37 0.71002
## HseHldEducationDich -1.6906 0.3198 -5.29 0.00000014
## CVDclusterdich 0.4476 0.7757 0.58 0.56398
## DMMclusterdich 0.0306 0.3817 0.08 0.93620
## PhysBMI 0.0171 0.0201 0.85 0.39643
## rxPsych 1.6321 0.4203 3.88 0.00011
## rxHTN -0.3705 0.3887 -0.95 0.34068
## rxDiabetes 0.6783 0.6228 1.09 0.27621
## rxHypercholesterolemia 0.1998 0.5275 0.38 0.70491
## SmokingCurr -0.4585 0.3742 -1.23 0.22058
## AlcoholCurr 0.3982 0.3026 1.32 0.18825
## IllicitDrugCurr 1.1972 0.4117 2.91 0.00368
## MedianHouseholdIncome2C -0.0782 0.1435 -0.54 0.58597
## Gini100C:Race 0.0389 0.0450 0.86 0.38810
## PovStat:Race -0.4751 0.6180 -0.77 0.44212
##
## Residual standard error: 6.13 on 1871 degrees of freedom
## Multiple R-squared: 0.0742, Adjusted R-squared: 0.0648
## F-statistic: 7.9 on 19 and 1871 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 7 : PovStat:Race
## --------
##
## -------------STEP 8 -------------
##
## Call:
## lm(formula = acasiAnger ~ Gini100C + PovStat + Race + Age0 +
## Sex + HseHldEducationDich + CVDclusterdich + DMMclusterdich +
## PhysBMI + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia +
## SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C +
## Gini100C:Race, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -13.226 -4.842 -0.665 4.113 20.654
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 14.0086 1.1310 12.39 < 2e-16
## Gini100C -0.0679 0.0344 -1.97 0.04858
## PovStat 0.8451 0.3105 2.72 0.00655
## Race -1.3071 0.3172 -4.12 0.00003940
## Age0 -0.0745 0.0171 -4.36 0.00001388
## Sex -0.1117 0.2969 -0.38 0.70667
## HseHldEducationDich -1.6902 0.3198 -5.29 0.00000014
## CVDclusterdich 0.4479 0.7756 0.58 0.56369
## DMMclusterdich 0.0290 0.3817 0.08 0.93955
## PhysBMI 0.0181 0.0201 0.90 0.36893
## rxPsych 1.6190 0.4199 3.86 0.00012
## rxHTN -0.3833 0.3883 -0.99 0.32377
## rxDiabetes 0.6927 0.6225 1.11 0.26594
## rxHypercholesterolemia 0.1873 0.5272 0.36 0.72241
## SmokingCurr -0.4661 0.3740 -1.25 0.21281
## AlcoholCurr 0.3882 0.3022 1.28 0.19920
## IllicitDrugCurr 1.1978 0.4116 2.91 0.00366
## MedianHouseholdIncome2C -0.0928 0.1422 -0.65 0.51383
## Gini100C:Race 0.0381 0.0450 0.85 0.39759
##
## Residual standard error: 6.13 on 1872 degrees of freedom
## Multiple R-squared: 0.074, Adjusted R-squared: 0.0651
## F-statistic: 8.31 on 18 and 1872 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 8 : Gini100C:Race
## --------
##
## -------------STEP 9 -------------
##
## Call:
## lm(formula = acasiAnger ~ Gini100C + PovStat + Race + Age0 +
## Sex + HseHldEducationDich + CVDclusterdich + DMMclusterdich +
## PhysBMI + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia +
## SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C,
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -13.310 -4.799 -0.664 4.127 20.601
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 13.9951 1.1308 12.38 < 2e-16
## Gini100C -0.0463 0.0230 -2.01 0.04472
## PovStat 0.8842 0.3070 2.88 0.00402
## Race -1.3315 0.3159 -4.22 0.000026109
## Age0 -0.0737 0.0171 -4.32 0.000016431
## Sex -0.0986 0.2965 -0.33 0.73939
## HseHldEducationDich -1.7096 0.3189 -5.36 0.000000093
## CVDclusterdich 0.4574 0.7755 0.59 0.55538
## DMMclusterdich 0.0258 0.3816 0.07 0.94619
## PhysBMI 0.0186 0.0201 0.93 0.35352
## rxPsych 1.6228 0.4199 3.86 0.00011
## rxHTN -0.3918 0.3882 -1.01 0.31286
## rxDiabetes 0.7004 0.6223 1.13 0.26054
## rxHypercholesterolemia 0.1848 0.5271 0.35 0.72590
## SmokingCurr -0.4721 0.3739 -1.26 0.20682
## AlcoholCurr 0.3759 0.3019 1.25 0.21319
## IllicitDrugCurr 1.2084 0.4114 2.94 0.00335
## MedianHouseholdIncome2C -0.1038 0.1416 -0.73 0.46331
##
## Residual standard error: 6.13 on 1873 degrees of freedom
## Multiple R-squared: 0.0736, Adjusted R-squared: 0.0652
## F-statistic: 8.75 on 17 and 1873 DF, p-value: <2e-16
##
## ***************** END Backward Elimination: acasiAnger *****************************
##
## ************************************************************
## ************************************************************
## BEGIN: CESimp
## ************************************************************
## ************************************************************
## -------------STEP 1 -------------
##
## Call:
## lm(formula = "CESimp ~ Gini100C*MedianHouseholdIncome2C*Race + I(Gini100C^2)*MedianHouseholdIncome2C*Race + Age0 + Sex + Race + HseHldEducationDich + PovStat + CVDclusterdich + DMMclusterdich + PhysBMI + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C",
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -21.07 -7.39 -2.09 5.71 42.53
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 17.421600 1.964174 8.87
## Gini100C -0.150224 0.083513 -1.80
## MedianHouseholdIncome2C 0.107551 0.680335 0.16
## Race -0.288805 0.752737 -0.38
## I(Gini100C^2) -0.000521 0.009471 -0.06
## Age0 -0.041776 0.028793 -1.45
## Sex -1.467087 0.500310 -2.93
## HseHldEducationDich -3.595488 0.540969 -6.65
## PovStat 2.949737 0.525191 5.62
## CVDclusterdich -0.005414 1.305169 0.00
## DMMclusterdich 0.921236 0.645064 1.43
## PhysBMI -0.008510 0.034042 -0.25
## rxPsych 7.459307 0.708465 10.53
## rxHTN -0.856492 0.654165 -1.31
## rxDiabetes 0.788710 1.050169 0.75
## rxHypercholesterolemia -0.790097 0.886652 -0.89
## SmokingCurr -1.775660 0.629895 -2.82
## AlcoholCurr 0.318894 0.509813 0.63
## IllicitDrugCurr 2.298066 0.694326 3.31
## Gini100C:MedianHouseholdIncome2C 0.014005 0.086192 0.16
## Gini100C:Race 0.100564 0.117480 0.86
## MedianHouseholdIncome2C:Race -0.327924 0.806374 -0.41
## MedianHouseholdIncome2C:I(Gini100C^2) -0.006469 0.010953 -0.59
## Race:I(Gini100C^2) 0.006822 0.014507 0.47
## Gini100C:MedianHouseholdIncome2C:Race 0.110114 0.116971 0.94
## MedianHouseholdIncome2C:Race:I(Gini100C^2) 0.006508 0.013215 0.49
## Pr(>|t|)
## (Intercept) < 2e-16
## Gini100C 0.07221
## MedianHouseholdIncome2C 0.87441
## Race 0.70126
## I(Gini100C^2) 0.95614
## Age0 0.14697
## Sex 0.00341
## HseHldEducationDich 0.000000000039
## PovStat 0.000000022419
## CVDclusterdich 0.99669
## DMMclusterdich 0.15342
## PhysBMI 0.80262
## rxPsych < 2e-16
## rxHTN 0.19060
## rxDiabetes 0.45273
## rxHypercholesterolemia 0.37299
## SmokingCurr 0.00487
## AlcoholCurr 0.53171
## IllicitDrugCurr 0.00095
## Gini100C:MedianHouseholdIncome2C 0.87094
## Gini100C:Race 0.39211
## MedianHouseholdIncome2C:Race 0.68430
## MedianHouseholdIncome2C:I(Gini100C^2) 0.55485
## Race:I(Gini100C^2) 0.63821
## Gini100C:MedianHouseholdIncome2C:Race 0.34663
## MedianHouseholdIncome2C:Race:I(Gini100C^2) 0.62245
##
## Residual standard error: 10.3 on 1865 degrees of freedom
## Multiple R-squared: 0.147, Adjusted R-squared: 0.136
## F-statistic: 12.9 on 25 and 1865 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 1 : MedianHouseholdIncome2C:Race:I(Gini100C^2)
## --------
##
## -------------STEP 2 -------------
##
## Call:
## lm(formula = CESimp ~ Gini100C + MedianHouseholdIncome2C + Race +
## I(Gini100C^2) + Age0 + Sex + HseHldEducationDich + PovStat +
## CVDclusterdich + DMMclusterdich + PhysBMI + rxPsych + rxHTN +
## rxDiabetes + rxHypercholesterolemia + SmokingCurr + AlcoholCurr +
## IllicitDrugCurr + Gini100C:MedianHouseholdIncome2C + Gini100C:Race +
## MedianHouseholdIncome2C:Race + MedianHouseholdIncome2C:I(Gini100C^2) +
## Race:I(Gini100C^2) + Gini100C:MedianHouseholdIncome2C:Race,
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -21.03 -7.39 -2.11 5.74 42.42
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 17.48137 1.96002 8.92
## Gini100C -0.14482 0.08277 -1.75
## MedianHouseholdIncome2C -0.09294 0.54498 -0.17
## Race -0.28511 0.75255 -0.38
## I(Gini100C^2) -0.00228 0.00877 -0.26
## Age0 -0.04229 0.02877 -1.47
## Sex -1.46190 0.50010 -2.92
## HseHldEducationDich -3.58655 0.54055 -6.63
## PovStat 2.95242 0.52506 5.62
## CVDclusterdich -0.00347 1.30490 0.00
## DMMclusterdich 0.92446 0.64490 1.43
## PhysBMI -0.00871 0.03403 -0.26
## rxPsych 7.46415 0.70825 10.54
## rxHTN -0.84530 0.65364 -1.29
## rxDiabetes 0.79404 1.04990 0.76
## rxHypercholesterolemia -0.78641 0.88644 -0.89
## SmokingCurr -1.78349 0.62957 -2.83
## AlcoholCurr 0.32873 0.50932 0.65
## IllicitDrugCurr 2.29007 0.69400 3.30
## Gini100C:MedianHouseholdIncome2C 0.00100 0.08203 0.01
## Gini100C:Race 0.08996 0.11547 0.78
## MedianHouseholdIncome2C:Race -0.07376 0.61946 -0.12
## MedianHouseholdIncome2C:I(Gini100C^2) -0.00199 0.00612 -0.33
## Race:I(Gini100C^2) 0.00703 0.01450 0.49
## Gini100C:MedianHouseholdIncome2C:Race 0.12809 0.11111 1.15
## Pr(>|t|)
## (Intercept) < 2e-16
## Gini100C 0.08035
## MedianHouseholdIncome2C 0.86461
## Race 0.70484
## I(Gini100C^2) 0.79490
## Age0 0.14170
## Sex 0.00351
## HseHldEducationDich 0.000000000042
## PovStat 0.000000021596
## CVDclusterdich 0.99788
## DMMclusterdich 0.15189
## PhysBMI 0.79797
## rxPsych < 2e-16
## rxHTN 0.19609
## rxDiabetes 0.44957
## rxHypercholesterolemia 0.37511
## SmokingCurr 0.00466
## AlcoholCurr 0.51873
## IllicitDrugCurr 0.00099
## Gini100C:MedianHouseholdIncome2C 0.99023
## Gini100C:Race 0.43602
## MedianHouseholdIncome2C:Race 0.90523
## MedianHouseholdIncome2C:I(Gini100C^2) 0.74436
## Race:I(Gini100C^2) 0.62765
## Gini100C:MedianHouseholdIncome2C:Race 0.24910
##
## Residual standard error: 10.3 on 1866 degrees of freedom
## Multiple R-squared: 0.147, Adjusted R-squared: 0.136
## F-statistic: 13.4 on 24 and 1866 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 2 : MedianHouseholdIncome2C:I(Gini100C^2)
## --------
##
## -------------STEP 3 -------------
##
## Call:
## lm(formula = CESimp ~ Gini100C + MedianHouseholdIncome2C + Race +
## I(Gini100C^2) + Age0 + Sex + HseHldEducationDich + PovStat +
## CVDclusterdich + DMMclusterdich + PhysBMI + rxPsych + rxHTN +
## rxDiabetes + rxHypercholesterolemia + SmokingCurr + AlcoholCurr +
## IllicitDrugCurr + Gini100C:MedianHouseholdIncome2C + Gini100C:Race +
## MedianHouseholdIncome2C:Race + Race:I(Gini100C^2) + Gini100C:MedianHouseholdIncome2C:Race,
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -21.08 -7.37 -2.10 5.72 42.53
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 17.48907 1.95941 8.93
## Gini100C -0.14233 0.08240 -1.73
## MedianHouseholdIncome2C -0.18269 0.47027 -0.39
## Race -0.35547 0.72079 -0.49
## I(Gini100C^2) -0.00307 0.00843 -0.36
## Age0 -0.04199 0.02875 -1.46
## Sex -1.46033 0.49996 -2.92
## HseHldEducationDich -3.58594 0.54042 -6.64
## PovStat 2.95484 0.52488 5.63
## CVDclusterdich -0.00221 1.30458 0.00
## DMMclusterdich 0.92398 0.64474 1.43
## PhysBMI -0.00874 0.03402 -0.26
## rxPsych 7.47124 0.70775 10.56
## rxHTN -0.85164 0.65319 -1.30
## rxDiabetes 0.80362 1.04924 0.77
## rxHypercholesterolemia -0.78811 0.88621 -0.89
## SmokingCurr -1.77536 0.62892 -2.82
## AlcoholCurr 0.32031 0.50854 0.63
## IllicitDrugCurr 2.29705 0.69350 3.31
## Gini100C:MedianHouseholdIncome2C -0.00465 0.08016 -0.06
## Gini100C:Race 0.09261 0.11515 0.80
## MedianHouseholdIncome2C:Race -0.03613 0.60847 -0.06
## Race:I(Gini100C^2) 0.00932 0.01268 0.74
## Gini100C:MedianHouseholdIncome2C:Race 0.12889 0.11105 1.16
## Pr(>|t|)
## (Intercept) < 2e-16
## Gini100C 0.08428
## MedianHouseholdIncome2C 0.69770
## Race 0.62195
## I(Gini100C^2) 0.71615
## Age0 0.14428
## Sex 0.00353
## HseHldEducationDich 0.000000000042
## PovStat 0.000000020808
## CVDclusterdich 0.99865
## DMMclusterdich 0.15200
## PhysBMI 0.79719
## rxPsych < 2e-16
## rxHTN 0.19246
## rxDiabetes 0.44383
## rxHypercholesterolemia 0.37396
## SmokingCurr 0.00481
## AlcoholCurr 0.52886
## IllicitDrugCurr 0.00094
## Gini100C:MedianHouseholdIncome2C 0.95377
## Gini100C:Race 0.42134
## MedianHouseholdIncome2C:Race 0.95266
## Race:I(Gini100C^2) 0.46213
## Gini100C:MedianHouseholdIncome2C:Race 0.24593
##
## Residual standard error: 10.3 on 1867 degrees of freedom
## Multiple R-squared: 0.147, Adjusted R-squared: 0.137
## F-statistic: 14 on 23 and 1867 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 3 : Race:I(Gini100C^2)
## --------
##
## -------------STEP 4 -------------
##
## Call:
## lm(formula = CESimp ~ Gini100C + MedianHouseholdIncome2C + Race +
## I(Gini100C^2) + Age0 + Sex + HseHldEducationDich + PovStat +
## CVDclusterdich + DMMclusterdich + PhysBMI + rxPsych + rxHTN +
## rxDiabetes + rxHypercholesterolemia + SmokingCurr + AlcoholCurr +
## IllicitDrugCurr + Gini100C:MedianHouseholdIncome2C + Gini100C:Race +
## MedianHouseholdIncome2C:Race + Gini100C:MedianHouseholdIncome2C:Race,
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -21.09 -7.36 -2.16 5.72 42.48
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 17.26081 1.93444 8.92
## Gini100C -0.16661 0.07549 -2.21
## MedianHouseholdIncome2C -0.23137 0.46553 -0.50
## Race -0.03708 0.57625 -0.06
## I(Gini100C^2) 0.00106 0.00629 0.17
## Age0 -0.04174 0.02874 -1.45
## Sex -1.44261 0.49931 -2.89
## HseHldEducationDich -3.61026 0.53934 -6.69
## PovStat 2.93677 0.52424 5.60
## CVDclusterdich 0.00330 1.30440 0.00
## DMMclusterdich 0.96037 0.64276 1.49
## PhysBMI -0.00837 0.03402 -0.25
## rxPsych 7.49871 0.70668 10.61
## rxHTN -0.85660 0.65308 -1.31
## rxDiabetes 0.76459 1.04777 0.73
## rxHypercholesterolemia -0.78593 0.88610 -0.89
## SmokingCurr -1.78084 0.62880 -2.83
## AlcoholCurr 0.33559 0.50806 0.66
## IllicitDrugCurr 2.31392 0.69304 3.34
## Gini100C:MedianHouseholdIncome2C -0.00847 0.07998 -0.11
## Gini100C:Race 0.14697 0.08830 1.66
## MedianHouseholdIncome2C:Race 0.10970 0.57519 0.19
## Gini100C:MedianHouseholdIncome2C:Race 0.10157 0.10464 0.97
## Pr(>|t|)
## (Intercept) < 2e-16
## Gini100C 0.02744
## MedianHouseholdIncome2C 0.61924
## Race 0.94870
## I(Gini100C^2) 0.86593
## Age0 0.14658
## Sex 0.00391
## HseHldEducationDich 0.000000000029
## PovStat 0.000000024343
## CVDclusterdich 0.99798
## DMMclusterdich 0.13531
## PhysBMI 0.80568
## rxPsych < 2e-16
## rxHTN 0.18980
## rxDiabetes 0.46564
## rxHypercholesterolemia 0.37521
## SmokingCurr 0.00467
## AlcoholCurr 0.50899
## IllicitDrugCurr 0.00086
## Gini100C:MedianHouseholdIncome2C 0.91571
## Gini100C:Race 0.09621
## MedianHouseholdIncome2C:Race 0.84876
## Gini100C:MedianHouseholdIncome2C:Race 0.33186
##
## Residual standard error: 10.3 on 1868 degrees of freedom
## Multiple R-squared: 0.147, Adjusted R-squared: 0.137
## F-statistic: 14.6 on 22 and 1868 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 4 : Gini100C:MedianHouseholdIncome2C:Race
## --------
##
## -------------STEP 5 -------------
##
## Call:
## lm(formula = CESimp ~ Gini100C + MedianHouseholdIncome2C + Race +
## I(Gini100C^2) + Age0 + Sex + HseHldEducationDich + PovStat +
## CVDclusterdich + DMMclusterdich + PhysBMI + rxPsych + rxHTN +
## rxDiabetes + rxHypercholesterolemia + SmokingCurr + AlcoholCurr +
## IllicitDrugCurr + Gini100C:MedianHouseholdIncome2C + Gini100C:Race +
## MedianHouseholdIncome2C:Race, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -21.23 -7.38 -2.16 5.69 42.70
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 17.31841 1.93350 8.96
## Gini100C -0.17495 0.07500 -2.33
## MedianHouseholdIncome2C 0.03619 0.37514 0.10
## Race -0.13903 0.56659 -0.25
## I(Gini100C^2) -0.00145 0.00573 -0.25
## Age0 -0.04045 0.02871 -1.41
## Sex -1.44773 0.49928 -2.90
## HseHldEducationDich -3.61970 0.53925 -6.71
## PovStat 2.92320 0.52404 5.58
## CVDclusterdich -0.01573 1.30423 -0.01
## DMMclusterdich 0.95942 0.64275 1.49
## PhysBMI -0.00832 0.03402 -0.24
## rxPsych 7.47691 0.70631 10.59
## rxHTN -0.85210 0.65305 -1.30
## rxDiabetes 0.75441 1.04770 0.72
## rxHypercholesterolemia -0.81002 0.88574 -0.91
## SmokingCurr -1.76266 0.62851 -2.80
## AlcoholCurr 0.32749 0.50798 0.64
## IllicitDrugCurr 2.29350 0.69271 3.31
## Gini100C:MedianHouseholdIncome2C 0.05296 0.04891 1.08
## Gini100C:Race 0.15975 0.08731 1.83
## MedianHouseholdIncome2C:Race -0.07487 0.54284 -0.14
## Pr(>|t|)
## (Intercept) < 2e-16
## Gini100C 0.01977
## MedianHouseholdIncome2C 0.92317
## Race 0.80619
## I(Gini100C^2) 0.80073
## Age0 0.15900
## Sex 0.00378
## HseHldEducationDich 0.000000000025
## PovStat 0.000000027856
## CVDclusterdich 0.99038
## DMMclusterdich 0.13569
## PhysBMI 0.80675
## rxPsych < 2e-16
## rxHTN 0.19212
## rxDiabetes 0.47157
## rxHypercholesterolemia 0.36056
## SmokingCurr 0.00509
## AlcoholCurr 0.51921
## IllicitDrugCurr 0.00095
## Gini100C:MedianHouseholdIncome2C 0.27908
## Gini100C:Race 0.06748
## MedianHouseholdIncome2C:Race 0.89032
##
## Residual standard error: 10.3 on 1869 degrees of freedom
## Multiple R-squared: 0.146, Adjusted R-squared: 0.137
## F-statistic: 15.3 on 21 and 1869 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 5 : MedianHouseholdIncome2C:Race
## --------
##
## -------------STEP 6 -------------
##
## Call:
## lm(formula = CESimp ~ Gini100C + MedianHouseholdIncome2C + Race +
## I(Gini100C^2) + Age0 + Sex + HseHldEducationDich + PovStat +
## CVDclusterdich + DMMclusterdich + PhysBMI + rxPsych + rxHTN +
## rxDiabetes + rxHypercholesterolemia + SmokingCurr + AlcoholCurr +
## IllicitDrugCurr + Gini100C:MedianHouseholdIncome2C + Gini100C:Race,
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -21.25 -7.37 -2.15 5.67 42.64
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 17.35374 1.91596 9.06
## Gini100C -0.17352 0.07426 -2.34
## MedianHouseholdIncome2C -0.00284 0.24620 -0.01
## Race -0.15809 0.54933 -0.29
## I(Gini100C^2) -0.00163 0.00557 -0.29
## Age0 -0.04045 0.02870 -1.41
## Sex -1.44836 0.49912 -2.90
## HseHldEducationDich -3.61974 0.53911 -6.71
## PovStat 2.91748 0.52226 5.59
## CVDclusterdich -0.01811 1.30377 -0.01
## DMMclusterdich 0.95833 0.64254 1.49
## PhysBMI -0.00872 0.03388 -0.26
## rxPsych 7.47862 0.70601 10.59
## rxHTN -0.85061 0.65279 -1.30
## rxDiabetes 0.75555 1.04739 0.72
## rxHypercholesterolemia -0.80765 0.88534 -0.91
## SmokingCurr -1.76052 0.62816 -2.80
## AlcoholCurr 0.32851 0.50779 0.65
## IllicitDrugCurr 2.29234 0.69247 3.31
## Gini100C:MedianHouseholdIncome2C 0.04956 0.04223 1.17
## Gini100C:Race 0.16056 0.08709 1.84
## Pr(>|t|)
## (Intercept) < 2e-16
## Gini100C 0.01956
## MedianHouseholdIncome2C 0.99078
## Race 0.77354
## I(Gini100C^2) 0.76957
## Age0 0.15890
## Sex 0.00375
## HseHldEducationDich 0.000000000025
## PovStat 0.000000026613
## CVDclusterdich 0.98892
## DMMclusterdich 0.13600
## PhysBMI 0.79686
## rxPsych < 2e-16
## rxHTN 0.19272
## rxDiabetes 0.47078
## rxHypercholesterolemia 0.36176
## SmokingCurr 0.00512
## AlcoholCurr 0.51775
## IllicitDrugCurr 0.00095
## Gini100C:MedianHouseholdIncome2C 0.24070
## Gini100C:Race 0.06539
##
## Residual standard error: 10.3 on 1870 degrees of freedom
## Multiple R-squared: 0.146, Adjusted R-squared: 0.137
## F-statistic: 16 on 20 and 1870 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 6 : I(Gini100C^2)
## --------
##
## -------------STEP 7 -------------
##
## Call:
## lm(formula = CESimp ~ Gini100C + MedianHouseholdIncome2C + Race +
## Age0 + Sex + HseHldEducationDich + PovStat + CVDclusterdich +
## DMMclusterdich + PhysBMI + rxPsych + rxHTN + rxDiabetes +
## rxHypercholesterolemia + SmokingCurr + AlcoholCurr + IllicitDrugCurr +
## Gini100C:MedianHouseholdIncome2C + Gini100C:Race, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -21.30 -7.37 -2.12 5.70 42.66
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 17.28820 1.90239 9.09
## Gini100C -0.18603 0.06074 -3.06
## MedianHouseholdIncome2C -0.01051 0.24475 -0.04
## Race -0.12749 0.53918 -0.24
## Age0 -0.04054 0.02869 -1.41
## Sex -1.45429 0.49859 -2.92
## HseHldEducationDich -3.63248 0.53722 -6.76
## PovStat 2.91070 0.52162 5.58
## CVDclusterdich -0.03339 1.30241 -0.03
## DMMclusterdich 0.95201 0.64202 1.48
## PhysBMI -0.00827 0.03384 -0.24
## rxPsych 7.46975 0.70519 10.59
## rxHTN -0.84392 0.65223 -1.29
## rxDiabetes 0.76513 1.04662 0.73
## rxHypercholesterolemia -0.80998 0.88509 -0.92
## SmokingCurr -1.75870 0.62797 -2.80
## AlcoholCurr 0.32482 0.50751 0.64
## IllicitDrugCurr 2.28060 0.69114 3.30
## Gini100C:MedianHouseholdIncome2C 0.05461 0.03853 1.42
## Gini100C:Race 0.16295 0.08669 1.88
## Pr(>|t|)
## (Intercept) < 2e-16
## Gini100C 0.00222
## MedianHouseholdIncome2C 0.96574
## Race 0.81310
## Age0 0.15786
## Sex 0.00358
## HseHldEducationDich 0.000000000018
## PovStat 0.000000027552
## CVDclusterdich 0.97955
## DMMclusterdich 0.13828
## PhysBMI 0.80691
## rxPsych < 2e-16
## rxHTN 0.19586
## rxDiabetes 0.46484
## rxHypercholesterolemia 0.36024
## SmokingCurr 0.00515
## AlcoholCurr 0.52223
## IllicitDrugCurr 0.00099
## Gini100C:MedianHouseholdIncome2C 0.15652
## Gini100C:Race 0.06031
##
## Residual standard error: 10.3 on 1871 degrees of freedom
## Multiple R-squared: 0.146, Adjusted R-squared: 0.138
## F-statistic: 16.9 on 19 and 1871 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 7 : Gini100C:MedianHouseholdIncome2C
## --------
##
## -------------STEP 8 -------------
##
## Call:
## lm(formula = CESimp ~ Gini100C + MedianHouseholdIncome2C + Race +
## Age0 + Sex + HseHldEducationDich + PovStat + CVDclusterdich +
## DMMclusterdich + PhysBMI + rxPsych + rxHTN + rxDiabetes +
## rxHypercholesterolemia + SmokingCurr + AlcoholCurr + IllicitDrugCurr +
## Gini100C:Race, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -21.51 -7.45 -2.11 5.68 43.65
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 17.12116 1.89925 9.01 < 2e-16
## Gini100C -0.15930 0.05775 -2.76 0.0059
## MedianHouseholdIncome2C -0.08737 0.23873 -0.37 0.7144
## Race -0.24727 0.53266 -0.46 0.6425
## Age0 -0.04043 0.02870 -1.41 0.1591
## Sex -1.47138 0.49858 -2.95 0.0032
## HseHldEducationDich -3.60419 0.53699 -6.71 0.000000000025
## PovStat 2.93898 0.52138 5.64 0.000000019949
## CVDclusterdich -0.07498 1.30243 -0.06 0.9541
## DMMclusterdich 0.89606 0.64097 1.40 0.1623
## PhysBMI -0.00436 0.03374 -0.13 0.8972
## rxPsych 7.44713 0.70520 10.56 < 2e-16
## rxHTN -0.87264 0.65209 -1.34 0.1810
## rxDiabetes 0.84805 1.04527 0.81 0.4173
## rxHypercholesterolemia -0.82515 0.88526 -0.93 0.3514
## SmokingCurr -1.77623 0.62802 -2.83 0.0047
## AlcoholCurr 0.33938 0.50755 0.67 0.5038
## IllicitDrugCurr 2.26385 0.69123 3.28 0.0011
## Gini100C:Race 0.10278 0.07560 1.36 0.1742
##
## Residual standard error: 10.3 on 1872 degrees of freedom
## Multiple R-squared: 0.145, Adjusted R-squared: 0.137
## F-statistic: 17.7 on 18 and 1872 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 8 : Gini100C:Race
## --------
##
## -------------STEP 9 -------------
##
## Call:
## lm(formula = CESimp ~ Gini100C + MedianHouseholdIncome2C + Race +
## Age0 + Sex + HseHldEducationDich + PovStat + CVDclusterdich +
## DMMclusterdich + PhysBMI + rxPsych + rxHTN + rxDiabetes +
## rxHypercholesterolemia + SmokingCurr + AlcoholCurr + IllicitDrugCurr,
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -21.98 -7.44 -2.11 5.61 43.78
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 17.0846 1.8995 8.99 < 2e-16
## Gini100C -0.1010 0.0387 -2.61 0.00911
## MedianHouseholdIncome2C -0.1171 0.2378 -0.49 0.62258
## Race -0.3131 0.5306 -0.59 0.55521
## Age0 -0.0384 0.0287 -1.34 0.18030
## Sex -1.4360 0.4980 -2.88 0.00398
## HseHldEducationDich -3.6566 0.5357 -6.83 0.000000000012
## PovStat 3.0444 0.5157 5.90 0.000000004217
## CVDclusterdich -0.0493 1.3026 -0.04 0.96979
## DMMclusterdich 0.8875 0.6411 1.38 0.16643
## PhysBMI -0.0028 0.0337 -0.08 0.93374
## rxPsych 7.4575 0.7053 10.57 < 2e-16
## rxHTN -0.8958 0.6520 -1.37 0.16965
## rxDiabetes 0.8690 1.0454 0.83 0.40594
## rxHypercholesterolemia -0.8318 0.8854 -0.94 0.34763
## SmokingCurr -1.7925 0.6280 -2.85 0.00436
## AlcoholCurr 0.3063 0.5071 0.60 0.54588
## IllicitDrugCurr 2.2924 0.6911 3.32 0.00093
##
## Residual standard error: 10.3 on 1873 degrees of freedom
## Multiple R-squared: 0.145, Adjusted R-squared: 0.137
## F-statistic: 18.6 on 17 and 1873 DF, p-value: <2e-16
##
## ***************** END Backward Elimination: CESimp *****************************
##
##
## ************************************************************
## ************************************************************
## BEGIN: acasiPDSQanx
## ************************************************************
## ************************************************************
## -------------STEP 1 -------------
##
## Call:
## lm(formula = "acasiPDSQanx ~ Gini100C*MedianHouseholdIncome2C*Race + I(Gini100C^2)*MedianHouseholdIncome2C*Race + Age0 + Sex + Race + HseHldEducationDich + PovStat + CVDclusterdich + DMMclusterdich + PhysBMI + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C",
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -6.62 -2.31 -1.01 2.02 8.69
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 5.044049 0.576572 8.75
## Gini100C -0.030589 0.024515 -1.25
## MedianHouseholdIncome2C 0.068989 0.199709 0.35
## Race -0.527156 0.220962 -2.39
## I(Gini100C^2) -0.003791 0.002780 -1.36
## Age0 -0.032843 0.008452 -3.89
## Sex -0.679850 0.146863 -4.63
## HseHldEducationDich -0.833955 0.158798 -5.25
## PovStat 0.608328 0.154167 3.95
## CVDclusterdich 0.051111 0.383125 0.13
## DMMclusterdich 0.285872 0.189355 1.51
## PhysBMI -0.000624 0.009993 -0.06
## rxPsych 1.764298 0.207966 8.48
## rxHTN -0.161417 0.192027 -0.84
## rxDiabetes -0.149092 0.308271 -0.48
## rxHypercholesterolemia 0.056097 0.260272 0.22
## SmokingCurr -0.215768 0.184902 -1.17
## AlcoholCurr 0.176351 0.149653 1.18
## IllicitDrugCurr 0.376465 0.203816 1.85
## Gini100C:MedianHouseholdIncome2C 0.010095 0.025301 0.40
## Gini100C:Race 0.041908 0.034486 1.22
## MedianHouseholdIncome2C:Race -0.073261 0.236706 -0.31
## MedianHouseholdIncome2C:I(Gini100C^2) 0.001239 0.003215 0.39
## Race:I(Gini100C^2) 0.003957 0.004258 0.93
## Gini100C:MedianHouseholdIncome2C:Race -0.012991 0.034336 -0.38
## MedianHouseholdIncome2C:Race:I(Gini100C^2) 0.000785 0.003879 0.20
## Pr(>|t|)
## (Intercept) < 2e-16
## Gini100C 0.21227
## MedianHouseholdIncome2C 0.72980
## Race 0.01714
## I(Gini100C^2) 0.17285
## Age0 0.00011
## Sex 0.00000393
## HseHldEducationDich 0.00000017
## PovStat 0.00008245
## CVDclusterdich 0.89389
## DMMclusterdich 0.13128
## PhysBMI 0.95022
## rxPsych < 2e-16
## rxHTN 0.40068
## rxDiabetes 0.62870
## rxHypercholesterolemia 0.82938
## SmokingCurr 0.24339
## AlcoholCurr 0.23879
## IllicitDrugCurr 0.06489
## Gini100C:MedianHouseholdIncome2C 0.68996
## Gini100C:Race 0.22444
## MedianHouseholdIncome2C:Race 0.75697
## MedianHouseholdIncome2C:I(Gini100C^2) 0.70001
## Race:I(Gini100C^2) 0.35286
## Gini100C:MedianHouseholdIncome2C:Race 0.70521
## MedianHouseholdIncome2C:Race:I(Gini100C^2) 0.83960
##
## Residual standard error: 3.02 on 1865 degrees of freedom
## Multiple R-squared: 0.115, Adjusted R-squared: 0.103
## F-statistic: 9.68 on 25 and 1865 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 1 : MedianHouseholdIncome2C:Race:I(Gini100C^2)
## --------
##
## -------------STEP 2 -------------
##
## Call:
## lm(formula = acasiPDSQanx ~ Gini100C + MedianHouseholdIncome2C +
## Race + I(Gini100C^2) + Age0 + Sex + HseHldEducationDich +
## PovStat + CVDclusterdich + DMMclusterdich + PhysBMI + rxPsych +
## rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr +
## AlcoholCurr + IllicitDrugCurr + Gini100C:MedianHouseholdIncome2C +
## Gini100C:Race + MedianHouseholdIncome2C:Race + MedianHouseholdIncome2C:I(Gini100C^2) +
## Race:I(Gini100C^2) + Gini100C:MedianHouseholdIncome2C:Race,
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -6.65 -2.31 -1.01 2.03 8.68
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 5.051261 0.575323 8.78
## Gini100C -0.029937 0.024296 -1.23
## MedianHouseholdIncome2C 0.044797 0.159966 0.28
## Race -0.526710 0.220894 -2.38
## I(Gini100C^2) -0.004003 0.002574 -1.56
## Age0 -0.032905 0.008444 -3.90
## Sex -0.679224 0.146793 -4.63
## HseHldEducationDich -0.832876 0.158668 -5.25
## PovStat 0.608652 0.154119 3.95
## CVDclusterdich 0.051347 0.383025 0.13
## DMMclusterdich 0.286261 0.189296 1.51
## PhysBMI -0.000648 0.009989 -0.06
## rxPsych 1.764882 0.207893 8.49
## rxHTN -0.160066 0.191861 -0.83
## rxDiabetes -0.148449 0.308176 -0.48
## rxHypercholesterolemia 0.056542 0.260196 0.22
## SmokingCurr -0.216712 0.184796 -1.17
## AlcoholCurr 0.177537 0.149500 1.19
## IllicitDrugCurr 0.375501 0.203708 1.84
## Gini100C:MedianHouseholdIncome2C 0.008526 0.024079 0.35
## Gini100C:Race 0.040628 0.033893 1.20
## MedianHouseholdIncome2C:Race -0.042593 0.181829 -0.23
## MedianHouseholdIncome2C:I(Gini100C^2) 0.001779 0.001795 0.99
## Race:I(Gini100C^2) 0.003983 0.004255 0.94
## Gini100C:MedianHouseholdIncome2C:Race -0.010822 0.032613 -0.33
## Pr(>|t|)
## (Intercept) < 2e-16
## Gini100C 0.2180
## MedianHouseholdIncome2C 0.7795
## Race 0.0172
## I(Gini100C^2) 0.1201
## Age0 0.0001
## Sex 0.00000396
## HseHldEducationDich 0.00000017
## PovStat 0.00008131
## CVDclusterdich 0.8934
## DMMclusterdich 0.1306
## PhysBMI 0.9483
## rxPsych < 2e-16
## rxHTN 0.4042
## rxDiabetes 0.6301
## rxHypercholesterolemia 0.8280
## SmokingCurr 0.2411
## AlcoholCurr 0.2352
## IllicitDrugCurr 0.0654
## Gini100C:MedianHouseholdIncome2C 0.7233
## Gini100C:Race 0.2308
## MedianHouseholdIncome2C:Race 0.8148
## MedianHouseholdIncome2C:I(Gini100C^2) 0.3219
## Race:I(Gini100C^2) 0.3494
## Gini100C:MedianHouseholdIncome2C:Race 0.7401
##
## Residual standard error: 3.02 on 1866 degrees of freedom
## Multiple R-squared: 0.115, Adjusted R-squared: 0.103
## F-statistic: 10.1 on 24 and 1866 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 2 : Gini100C:MedianHouseholdIncome2C:Race
## --------
##
## -------------STEP 3 -------------
##
## Call:
## lm(formula = acasiPDSQanx ~ Gini100C + MedianHouseholdIncome2C +
## Race + I(Gini100C^2) + Age0 + Sex + HseHldEducationDich +
## PovStat + CVDclusterdich + DMMclusterdich + PhysBMI + rxPsych +
## rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr +
## AlcoholCurr + IllicitDrugCurr + Gini100C:MedianHouseholdIncome2C +
## Gini100C:Race + MedianHouseholdIncome2C:Race + MedianHouseholdIncome2C:I(Gini100C^2) +
## Race:I(Gini100C^2), data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -6.67 -2.33 -1.01 2.03 8.65
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 5.05598 0.57501 8.79
## Gini100C -0.02806 0.02362 -1.19
## MedianHouseholdIncome2C 0.02106 0.14304 0.15
## Race -0.53164 0.22034 -2.41
## I(Gini100C^2) -0.00395 0.00257 -1.54
## Age0 -0.03304 0.00843 -3.92
## Sex -0.67951 0.14675 -4.63
## HseHldEducationDich -0.83090 0.15852 -5.24
## PovStat 0.61075 0.15395 3.97
## CVDclusterdich 0.05291 0.38290 0.14
## DMMclusterdich 0.28474 0.18920 1.50
## PhysBMI -0.00067 0.00999 -0.07
## rxPsych 1.76577 0.20783 8.50
## rxHTN -0.16032 0.19181 -0.84
## rxDiabetes -0.14569 0.30799 -0.47
## rxHypercholesterolemia 0.05871 0.26005 0.23
## SmokingCurr -0.21813 0.18470 -1.18
## AlcoholCurr 0.17757 0.14946 1.19
## IllicitDrugCurr 0.37673 0.20363 1.85
## Gini100C:MedianHouseholdIncome2C 0.00285 0.01694 0.17
## Gini100C:Race 0.03703 0.03210 1.15
## MedianHouseholdIncome2C:Race -0.03135 0.17860 -0.18
## MedianHouseholdIncome2C:I(Gini100C^2) 0.00179 0.00179 1.00
## Race:I(Gini100C^2) 0.00441 0.00405 1.09
## Pr(>|t|)
## (Intercept) < 2e-16
## Gini100C 0.235
## MedianHouseholdIncome2C 0.883
## Race 0.016
## I(Gini100C^2) 0.124
## Age0 0.00009272
## Sex 0.00000390
## HseHldEducationDich 0.00000018
## PovStat 0.00007549
## CVDclusterdich 0.890
## DMMclusterdich 0.132
## PhysBMI 0.947
## rxPsych < 2e-16
## rxHTN 0.403
## rxDiabetes 0.636
## rxHypercholesterolemia 0.821
## SmokingCurr 0.238
## AlcoholCurr 0.235
## IllicitDrugCurr 0.064
## Gini100C:MedianHouseholdIncome2C 0.866
## Gini100C:Race 0.249
## MedianHouseholdIncome2C:Race 0.861
## MedianHouseholdIncome2C:I(Gini100C^2) 0.318
## Race:I(Gini100C^2) 0.277
##
## Residual standard error: 3.02 on 1867 degrees of freedom
## Multiple R-squared: 0.115, Adjusted R-squared: 0.104
## F-statistic: 10.5 on 23 and 1867 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 3 : MedianHouseholdIncome2C:I(Gini100C^2)
## --------
##
## -------------STEP 4 -------------
##
## Call:
## lm(formula = acasiPDSQanx ~ Gini100C + MedianHouseholdIncome2C +
## Race + I(Gini100C^2) + Age0 + Sex + HseHldEducationDich +
## PovStat + CVDclusterdich + DMMclusterdich + PhysBMI + rxPsych +
## rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr +
## AlcoholCurr + IllicitDrugCurr + Gini100C:MedianHouseholdIncome2C +
## Gini100C:Race + MedianHouseholdIncome2C:Race + Race:I(Gini100C^2),
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -6.563 -2.308 -0.988 2.021 8.625
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 5.049371 0.574972 8.78 < 2e-16
## Gini100C -0.030168 0.023525 -1.28 0.200
## MedianHouseholdIncome2C 0.100146 0.119114 0.84 0.401
## Race -0.468732 0.211143 -2.22 0.027
## I(Gini100C^2) -0.003245 0.002469 -1.31 0.189
## Age0 -0.033318 0.008428 -3.95 0.00008002
## Sex -0.680947 0.146748 -4.64 0.00000372
## HseHldEducationDich -0.831320 0.158518 -5.24 0.00000017
## PovStat 0.608720 0.153939 3.95 0.00007962
## CVDclusterdich 0.051889 0.382903 0.14 0.892
## DMMclusterdich 0.285058 0.189195 1.51 0.132
## PhysBMI -0.000642 0.009987 -0.06 0.949
## rxPsych 1.759457 0.207729 8.47 < 2e-16
## rxHTN -0.154629 0.191729 -0.81 0.420
## rxDiabetes -0.154123 0.307875 -0.50 0.617
## rxHypercholesterolemia 0.060387 0.260046 0.23 0.816
## SmokingCurr -0.225535 0.184553 -1.22 0.222
## AlcoholCurr 0.185137 0.149272 1.24 0.215
## IllicitDrugCurr 0.370546 0.203531 1.82 0.069
## Gini100C:MedianHouseholdIncome2C 0.007552 0.016271 0.46 0.643
## Gini100C:Race 0.034406 0.031995 1.08 0.282
## MedianHouseholdIncome2C:Race -0.064431 0.175502 -0.37 0.714
## Race:I(Gini100C^2) 0.002380 0.003507 0.68 0.497
##
## Residual standard error: 3.02 on 1868 degrees of freedom
## Multiple R-squared: 0.114, Adjusted R-squared: 0.104
## F-statistic: 11 on 22 and 1868 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 4 : Race:I(Gini100C^2)
## --------
##
## -------------STEP 5 -------------
##
## Call:
## lm(formula = acasiPDSQanx ~ Gini100C + MedianHouseholdIncome2C +
## Race + I(Gini100C^2) + Age0 + Sex + HseHldEducationDich +
## PovStat + CVDclusterdich + DMMclusterdich + PhysBMI + rxPsych +
## rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr +
## AlcoholCurr + IllicitDrugCurr + Gini100C:MedianHouseholdIncome2C +
## Gini100C:Race + MedianHouseholdIncome2C:Race, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -6.55 -2.31 -1.01 2.04 8.69
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.987160 0.567535 8.79 < 2e-16
## Gini100C -0.035791 0.022014 -1.63 0.104
## MedianHouseholdIncome2C 0.069348 0.110114 0.63 0.529
## Race -0.380471 0.166309 -2.29 0.022
## I(Gini100C^2) -0.002019 0.001683 -1.20 0.230
## Age0 -0.033343 0.008427 -3.96 0.00007883
## Sex -0.676073 0.146551 -4.61 0.00000423
## HseHldEducationDich -0.836878 0.158283 -5.29 0.00000014
## PovStat 0.605039 0.153821 3.93 0.00008681
## CVDclusterdich 0.054604 0.382827 0.14 0.887
## DMMclusterdich 0.294409 0.188665 1.56 0.119
## PhysBMI -0.000549 0.009984 -0.06 0.956
## rxPsych 1.767965 0.207321 8.53 < 2e-16
## rxHTN -0.156205 0.191688 -0.81 0.415
## rxDiabetes -0.163386 0.307527 -0.53 0.595
## rxHypercholesterolemia 0.062597 0.259988 0.24 0.810
## SmokingCurr -0.228183 0.184485 -1.24 0.216
## AlcoholCurr 0.189592 0.149106 1.27 0.204
## IllicitDrugCurr 0.376255 0.203328 1.85 0.064
## Gini100C:MedianHouseholdIncome2C 0.002359 0.014357 0.16 0.870
## Gini100C:Race 0.047400 0.025629 1.85 0.065
## MedianHouseholdIncome2C:Race -0.014537 0.159337 -0.09 0.927
##
## Residual standard error: 3.02 on 1869 degrees of freedom
## Multiple R-squared: 0.114, Adjusted R-squared: 0.104
## F-statistic: 11.5 on 21 and 1869 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 5 : MedianHouseholdIncome2C:Race
## --------
##
## -------------STEP 6 -------------
##
## Call:
## lm(formula = acasiPDSQanx ~ Gini100C + MedianHouseholdIncome2C +
## Race + I(Gini100C^2) + Age0 + Sex + HseHldEducationDich +
## PovStat + CVDclusterdich + DMMclusterdich + PhysBMI + rxPsych +
## rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr +
## AlcoholCurr + IllicitDrugCurr + Gini100C:MedianHouseholdIncome2C +
## Gini100C:Race, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -6.57 -2.31 -1.01 2.04 8.69
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.994020 0.562383 8.88 < 2e-16
## Gini100C -0.035512 0.021797 -1.63 0.103
## MedianHouseholdIncome2C 0.061770 0.072267 0.85 0.393
## Race -0.384173 0.161242 -2.38 0.017
## I(Gini100C^2) -0.002055 0.001636 -1.26 0.209
## Age0 -0.033343 0.008425 -3.96 0.00007849
## Sex -0.676196 0.146506 -4.62 0.00000419
## HseHldEducationDich -0.836887 0.158241 -5.29 0.00000014
## PovStat 0.603929 0.153298 3.94 0.00008463
## CVDclusterdich 0.054141 0.382692 0.14 0.888
## DMMclusterdich 0.294196 0.188601 1.56 0.119
## PhysBMI -0.000627 0.009945 -0.06 0.950
## rxPsych 1.768298 0.207234 8.53 < 2e-16
## rxHTN -0.155916 0.191611 -0.81 0.416
## rxDiabetes -0.163166 0.307436 -0.53 0.596
## rxHypercholesterolemia 0.063058 0.259870 0.24 0.808
## SmokingCurr -0.227768 0.184380 -1.24 0.217
## AlcoholCurr 0.189790 0.149050 1.27 0.203
## IllicitDrugCurr 0.376030 0.203259 1.85 0.064
## Gini100C:MedianHouseholdIncome2C 0.001698 0.012394 0.14 0.891
## Gini100C:Race 0.047559 0.025563 1.86 0.063
##
## Residual standard error: 3.02 on 1870 degrees of freedom
## Multiple R-squared: 0.114, Adjusted R-squared: 0.105
## F-statistic: 12 on 20 and 1870 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 6 : Gini100C:MedianHouseholdIncome2C
## --------
##
## -------------STEP 7 -------------
##
## Call:
## lm(formula = acasiPDSQanx ~ Gini100C + MedianHouseholdIncome2C +
## Race + I(Gini100C^2) + Age0 + Sex + HseHldEducationDich +
## PovStat + CVDclusterdich + DMMclusterdich + PhysBMI + rxPsych +
## rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr +
## AlcoholCurr + IllicitDrugCurr + Gini100C:Race, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -6.57 -2.31 -1.00 2.04 8.70
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.993370 0.562215 8.88 < 2e-16
## Gini100C -0.034118 0.019271 -1.77 0.077
## MedianHouseholdIncome2C 0.060209 0.071345 0.84 0.399
## Race -0.388992 0.157318 -2.47 0.013
## I(Gini100C^2) -0.002146 0.001493 -1.44 0.151
## Age0 -0.033335 0.008422 -3.96 0.00007842
## Sex -0.676306 0.146466 -4.62 0.00000415
## HseHldEducationDich -0.835440 0.157847 -5.29 0.00000013
## PovStat 0.605042 0.153043 3.95 0.00007991
## CVDclusterdich 0.053921 0.382588 0.14 0.888
## DMMclusterdich 0.293101 0.188382 1.56 0.120
## PhysBMI -0.000551 0.009927 -0.06 0.956
## rxPsych 1.768209 0.207178 8.53 < 2e-16
## rxHTN -0.157035 0.191387 -0.82 0.412
## rxDiabetes -0.161556 0.307131 -0.53 0.599
## rxHypercholesterolemia 0.062795 0.259795 0.24 0.809
## SmokingCurr -0.228325 0.184287 -1.24 0.216
## AlcoholCurr 0.190374 0.148950 1.28 0.201
## IllicitDrugCurr 0.376256 0.203199 1.85 0.064
## Gini100C:Race 0.045867 0.022376 2.05 0.041
##
## Residual standard error: 3.02 on 1871 degrees of freedom
## Multiple R-squared: 0.114, Adjusted R-squared: 0.105
## F-statistic: 12.7 on 19 and 1871 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 7 : I(Gini100C^2)
## --------
##
## -------------STEP 8 -------------
##
## Call:
## lm(formula = acasiPDSQanx ~ Gini100C + MedianHouseholdIncome2C +
## Race + Age0 + Sex + HseHldEducationDich + PovStat + CVDclusterdich +
## DMMclusterdich + PhysBMI + rxPsych + rxHTN + rxDiabetes +
## rxHypercholesterolemia + SmokingCurr + AlcoholCurr + IllicitDrugCurr +
## Gini100C:Race, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -6.472 -2.304 -0.983 2.065 8.606
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.886890 0.557477 8.77 < 2e-16
## Gini100C -0.047310 0.016952 -2.79 0.0053
## MedianHouseholdIncome2C 0.040775 0.070074 0.58 0.5607
## Race -0.363349 0.156348 -2.32 0.0202
## Age0 -0.033438 0.008424 -3.97 0.000074839
## Sex -0.686183 0.146346 -4.69 0.000002947
## HseHldEducationDich -0.848742 0.157621 -5.38 0.000000082
## PovStat 0.599570 0.153039 3.92 0.000092586
## CVDclusterdich 0.028771 0.382297 0.08 0.9400
## DMMclusterdich 0.277987 0.188142 1.48 0.1397
## PhysBMI 0.000518 0.009902 0.05 0.9583
## rxPsych 1.753793 0.206995 8.47 < 2e-16
## rxHTN -0.151740 0.191406 -0.79 0.4280
## rxDiabetes -0.138867 0.306813 -0.45 0.6509
## rxHypercholesterolemia 0.057886 0.259846 0.22 0.8237
## SmokingCurr -0.228062 0.184340 -1.24 0.2162
## AlcoholCurr 0.187297 0.148977 1.26 0.2088
## IllicitDrugCurr 0.358772 0.202893 1.77 0.0772
## Gini100C:Race 0.041675 0.022192 1.88 0.0605
##
## Residual standard error: 3.02 on 1872 degrees of freedom
## Multiple R-squared: 0.113, Adjusted R-squared: 0.105
## F-statistic: 13.3 on 18 and 1872 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 8 : Gini100C:Race
## --------
##
## -------------STEP 9 -------------
##
## Call:
## lm(formula = acasiPDSQanx ~ Gini100C + MedianHouseholdIncome2C +
## Race + Age0 + Sex + HseHldEducationDich + PovStat + CVDclusterdich +
## DMMclusterdich + PhysBMI + rxPsych + rxHTN + rxDiabetes +
## rxHypercholesterolemia + SmokingCurr + AlcoholCurr + IllicitDrugCurr,
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -6.54 -2.29 -1.04 2.03 8.50
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 4.87207 0.55780 8.73 < 2e-16
## Gini100C -0.02367 0.01136 -2.08 0.03735
## MedianHouseholdIncome2C 0.02874 0.06983 0.41 0.68073
## Race -0.39003 0.15581 -2.50 0.01239
## Age0 -0.03263 0.00842 -3.88 0.00011
## Sex -0.67184 0.14625 -4.59 0.000004640
## HseHldEducationDich -0.86999 0.15732 -5.53 0.000000037
## PovStat 0.64232 0.15144 4.24 0.000023294
## CVDclusterdich 0.03917 0.38251 0.10 0.91845
## DMMclusterdich 0.27450 0.18826 1.46 0.14499
## PhysBMI 0.00115 0.00990 0.12 0.90769
## rxPsych 1.75798 0.20712 8.49 < 2e-16
## rxHTN -0.16112 0.19147 -0.84 0.40017
## rxDiabetes -0.13038 0.30699 -0.42 0.67110
## rxHypercholesterolemia 0.05518 0.26002 0.21 0.83196
## SmokingCurr -0.23468 0.18443 -1.27 0.20337
## AlcoholCurr 0.17388 0.14891 1.17 0.24306
## IllicitDrugCurr 0.37037 0.20294 1.83 0.06815
##
## Residual standard error: 3.02 on 1873 degrees of freedom
## Multiple R-squared: 0.111, Adjusted R-squared: 0.103
## F-statistic: 13.8 on 17 and 1873 DF, p-value: <2e-16
##
## ***************** END Backward Elimination: acasiPDSQanx *****************************
##
##
## ************************************************************
## ************************************************************
## BEGIN: acasiPerStr
## ************************************************************
## ************************************************************
## -------------STEP 1 -------------
##
## Call:
## lm(formula = "acasiPerStr ~ Gini100C*MedianHouseholdIncome2C*Race + I(Gini100C^2)*MedianHouseholdIncome2C*Race + Age0 + Sex + Race + HseHldEducationDich + PovStat + CVDclusterdich + DMMclusterdich + PhysBMI + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C",
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -7.565 -2.327 -0.154 2.184 11.166
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 7.239028 0.604343 11.98
## Gini100C -0.003029 0.025696 -0.12
## MedianHouseholdIncome2C -0.157941 0.209328 -0.75
## Race -0.717980 0.231605 -3.10
## I(Gini100C^2) -0.005745 0.002914 -1.97
## Age0 -0.016045 0.008859 -1.81
## Sex -0.100026 0.153937 -0.65
## HseHldEducationDich -0.996026 0.166447 -5.98
## PovStat 0.764596 0.161593 4.73
## CVDclusterdich 0.684718 0.401579 1.71
## DMMclusterdich -0.069531 0.198475 -0.35
## PhysBMI -0.012829 0.010474 -1.22
## rxPsych 1.190746 0.217983 5.46
## rxHTN -0.289426 0.201276 -1.44
## rxDiabetes 0.450120 0.323119 1.39
## rxHypercholesterolemia -0.278396 0.272808 -1.02
## SmokingCurr -0.455021 0.193808 -2.35
## AlcoholCurr 0.256897 0.156861 1.64
## IllicitDrugCurr 0.396134 0.213633 1.85
## Gini100C:MedianHouseholdIncome2C -0.010685 0.026520 -0.40
## Gini100C:Race 0.008959 0.036147 0.25
## MedianHouseholdIncome2C:Race -0.022340 0.248108 -0.09
## MedianHouseholdIncome2C:I(Gini100C^2) 0.003380 0.003370 1.00
## Race:I(Gini100C^2) 0.007217 0.004464 1.62
## Gini100C:MedianHouseholdIncome2C:Race 0.011380 0.035990 0.32
## MedianHouseholdIncome2C:Race:I(Gini100C^2) 0.000415 0.004066 0.10
## Pr(>|t|)
## (Intercept) < 2e-16
## Gini100C 0.906
## MedianHouseholdIncome2C 0.451
## Race 0.002
## I(Gini100C^2) 0.049
## Age0 0.070
## Sex 0.516
## HseHldEducationDich 0.0000000026
## PovStat 0.0000023948
## CVDclusterdich 0.088
## DMMclusterdich 0.726
## PhysBMI 0.221
## rxPsych 0.0000000532
## rxHTN 0.151
## rxDiabetes 0.164
## rxHypercholesterolemia 0.308
## SmokingCurr 0.019
## AlcoholCurr 0.102
## IllicitDrugCurr 0.064
## Gini100C:MedianHouseholdIncome2C 0.687
## Gini100C:Race 0.804
## MedianHouseholdIncome2C:Race 0.928
## MedianHouseholdIncome2C:I(Gini100C^2) 0.316
## Race:I(Gini100C^2) 0.106
## Gini100C:MedianHouseholdIncome2C:Race 0.752
## MedianHouseholdIncome2C:Race:I(Gini100C^2) 0.919
##
## Residual standard error: 3.17 on 1865 degrees of freedom
## Multiple R-squared: 0.0909, Adjusted R-squared: 0.0787
## F-statistic: 7.46 on 25 and 1865 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 1 : MedianHouseholdIncome2C:Race:I(Gini100C^2)
## --------
##
## -------------STEP 2 -------------
##
## Call:
## lm(formula = acasiPerStr ~ Gini100C + MedianHouseholdIncome2C +
## Race + I(Gini100C^2) + Age0 + Sex + HseHldEducationDich +
## PovStat + CVDclusterdich + DMMclusterdich + PhysBMI + rxPsych +
## rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr +
## AlcoholCurr + IllicitDrugCurr + Gini100C:MedianHouseholdIncome2C +
## Gini100C:Race + MedianHouseholdIncome2C:Race + MedianHouseholdIncome2C:I(Gini100C^2) +
## Race:I(Gini100C^2) + Gini100C:MedianHouseholdIncome2C:Race,
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -7.569 -2.330 -0.157 2.177 11.172
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 7.24284 0.60303 12.01
## Gini100C -0.00268 0.02547 -0.11
## MedianHouseholdIncome2C -0.17072 0.16767 -1.02
## Race -0.71774 0.23153 -3.10
## I(Gini100C^2) -0.00586 0.00270 -2.17
## Age0 -0.01608 0.00885 -1.82
## Sex -0.09970 0.15386 -0.65
## HseHldEducationDich -0.99546 0.16631 -5.99
## PovStat 0.76477 0.16154 4.73
## CVDclusterdich 0.68484 0.40147 1.71
## DMMclusterdich -0.06933 0.19841 -0.35
## PhysBMI -0.01284 0.01047 -1.23
## rxPsych 1.19105 0.21790 5.47
## rxHTN -0.28871 0.20110 -1.44
## rxDiabetes 0.45046 0.32302 1.39
## rxHypercholesterolemia -0.27816 0.27273 -1.02
## SmokingCurr -0.45552 0.19369 -2.35
## AlcoholCurr 0.25752 0.15670 1.64
## IllicitDrugCurr 0.39562 0.21352 1.85
## Gini100C:MedianHouseholdIncome2C -0.01151 0.02524 -0.46
## Gini100C:Race 0.00828 0.03553 0.23
## MedianHouseholdIncome2C:Race -0.00614 0.19059 -0.03
## MedianHouseholdIncome2C:I(Gini100C^2) 0.00367 0.00188 1.95
## Race:I(Gini100C^2) 0.00723 0.00446 1.62
## Gini100C:MedianHouseholdIncome2C:Race 0.01253 0.03418 0.37
## Pr(>|t|)
## (Intercept) < 2e-16
## Gini100C 0.916
## MedianHouseholdIncome2C 0.309
## Race 0.002
## I(Gini100C^2) 0.030
## Age0 0.069
## Sex 0.517
## HseHldEducationDich 0.0000000026
## PovStat 0.0000023649
## CVDclusterdich 0.088
## DMMclusterdich 0.727
## PhysBMI 0.220
## rxPsych 0.0000000522
## rxHTN 0.151
## rxDiabetes 0.163
## rxHypercholesterolemia 0.308
## SmokingCurr 0.019
## AlcoholCurr 0.100
## IllicitDrugCurr 0.064
## Gini100C:MedianHouseholdIncome2C 0.648
## Gini100C:Race 0.816
## MedianHouseholdIncome2C:Race 0.974
## MedianHouseholdIncome2C:I(Gini100C^2) 0.052
## Race:I(Gini100C^2) 0.105
## Gini100C:MedianHouseholdIncome2C:Race 0.714
##
## Residual standard error: 3.17 on 1866 degrees of freedom
## Multiple R-squared: 0.0909, Adjusted R-squared: 0.0792
## F-statistic: 7.78 on 24 and 1866 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 2 : Gini100C:MedianHouseholdIncome2C:Race
## --------
##
## -------------STEP 3 -------------
##
## Call:
## lm(formula = acasiPerStr ~ Gini100C + MedianHouseholdIncome2C +
## Race + I(Gini100C^2) + Age0 + Sex + HseHldEducationDich +
## PovStat + CVDclusterdich + DMMclusterdich + PhysBMI + rxPsych +
## rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr +
## AlcoholCurr + IllicitDrugCurr + Gini100C:MedianHouseholdIncome2C +
## Gini100C:Race + MedianHouseholdIncome2C:Race + MedianHouseholdIncome2C:I(Gini100C^2) +
## Race:I(Gini100C^2), data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -7.567 -2.329 -0.155 2.168 11.181
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 7.23738 0.60270 12.01
## Gini100C -0.00486 0.02476 -0.20
## MedianHouseholdIncome2C -0.14324 0.14993 -0.96
## Race -0.71204 0.23095 -3.08
## I(Gini100C^2) -0.00591 0.00269 -2.20
## Age0 -0.01593 0.00884 -1.80
## Sex -0.09936 0.15382 -0.65
## HseHldEducationDich -0.99774 0.16615 -6.00
## PovStat 0.76234 0.16137 4.72
## CVDclusterdich 0.68303 0.40135 1.70
## DMMclusterdich -0.06756 0.19831 -0.34
## PhysBMI -0.01282 0.01047 -1.22
## rxPsych 1.19002 0.21784 5.46
## rxHTN -0.28842 0.20105 -1.43
## rxDiabetes 0.44727 0.32282 1.39
## rxHypercholesterolemia -0.28067 0.27258 -1.03
## SmokingCurr -0.45387 0.19360 -2.34
## AlcoholCurr 0.25749 0.15666 1.64
## IllicitDrugCurr 0.39420 0.21343 1.85
## Gini100C:MedianHouseholdIncome2C -0.00494 0.01775 -0.28
## Gini100C:Race 0.01245 0.03365 0.37
## MedianHouseholdIncome2C:Race -0.01915 0.18720 -0.10
## MedianHouseholdIncome2C:I(Gini100C^2) 0.00365 0.00188 1.94
## Race:I(Gini100C^2) 0.00674 0.00425 1.58
## Pr(>|t|)
## (Intercept) < 2e-16
## Gini100C 0.8443
## MedianHouseholdIncome2C 0.3395
## Race 0.0021
## I(Gini100C^2) 0.0282
## Age0 0.0717
## Sex 0.5184
## HseHldEducationDich 0.0000000023
## PovStat 0.0000024823
## CVDclusterdich 0.0890
## DMMclusterdich 0.7334
## PhysBMI 0.2210
## rxPsych 0.0000000531
## rxHTN 0.1516
## rxDiabetes 0.1661
## rxHypercholesterolemia 0.3033
## SmokingCurr 0.0192
## AlcoholCurr 0.1004
## IllicitDrugCurr 0.0649
## Gini100C:MedianHouseholdIncome2C 0.7808
## Gini100C:Race 0.7114
## MedianHouseholdIncome2C:Race 0.9185
## MedianHouseholdIncome2C:I(Gini100C^2) 0.0525
## Race:I(Gini100C^2) 0.1131
##
## Residual standard error: 3.17 on 1867 degrees of freedom
## Multiple R-squared: 0.0909, Adjusted R-squared: 0.0797
## F-statistic: 8.11 on 23 and 1867 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 3 : Race:I(Gini100C^2)
## --------
##
## -------------STEP 4 -------------
##
## Call:
## lm(formula = acasiPerStr ~ Gini100C + MedianHouseholdIncome2C +
## Race + I(Gini100C^2) + Age0 + Sex + HseHldEducationDich +
## PovStat + CVDclusterdich + DMMclusterdich + PhysBMI + rxPsych +
## rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr +
## AlcoholCurr + IllicitDrugCurr + Gini100C:MedianHouseholdIncome2C +
## Gini100C:Race + MedianHouseholdIncome2C:Race + MedianHouseholdIncome2C:I(Gini100C^2),
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -7.482 -2.341 -0.136 2.193 11.212
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 7.10012 0.59669 11.90
## Gini100C -0.01853 0.02322 -0.80
## MedianHouseholdIncome2C -0.14244 0.14999 -0.95
## Race -0.47263 0.17478 -2.70
## I(Gini100C^2) -0.00273 0.00179 -1.52
## Age0 -0.01622 0.00884 -1.83
## Sex -0.09023 0.15378 -0.59
## HseHldEducationDich -1.00986 0.16604 -6.08
## PovStat 0.75285 0.16132 4.67
## CVDclusterdich 0.68793 0.40150 1.71
## DMMclusterdich -0.04749 0.19798 -0.24
## PhysBMI -0.01260 0.01047 -1.20
## rxPsych 1.20277 0.21778 5.52
## rxHTN -0.28702 0.20113 -1.43
## rxDiabetes 0.42062 0.32252 1.30
## rxHypercholesterolemia -0.27460 0.27266 -1.01
## SmokingCurr -0.46566 0.19353 -2.41
## AlcoholCurr 0.27323 0.15641 1.75
## IllicitDrugCurr 0.40113 0.21347 1.88
## Gini100C:MedianHouseholdIncome2C -0.01201 0.01719 -0.70
## Gini100C:Race 0.03778 0.02962 1.28
## MedianHouseholdIncome2C:Race 0.05889 0.18069 0.33
## MedianHouseholdIncome2C:I(Gini100C^2) 0.00215 0.00163 1.32
## Pr(>|t|)
## (Intercept) < 2e-16
## Gini100C 0.4249
## MedianHouseholdIncome2C 0.3424
## Race 0.0069
## I(Gini100C^2) 0.1282
## Age0 0.0668
## Sex 0.5574
## HseHldEducationDich 0.0000000014
## PovStat 0.0000032777
## CVDclusterdich 0.0868
## DMMclusterdich 0.8105
## PhysBMI 0.2291
## rxPsych 0.0000000380
## rxHTN 0.1537
## rxDiabetes 0.1923
## rxHypercholesterolemia 0.3140
## SmokingCurr 0.0162
## AlcoholCurr 0.0808
## IllicitDrugCurr 0.0604
## Gini100C:MedianHouseholdIncome2C 0.4848
## Gini100C:Race 0.2024
## MedianHouseholdIncome2C:Race 0.7445
## MedianHouseholdIncome2C:I(Gini100C^2) 0.1859
##
## Residual standard error: 3.17 on 1868 degrees of freedom
## Multiple R-squared: 0.0896, Adjusted R-squared: 0.0789
## F-statistic: 8.36 on 22 and 1868 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 4 : MedianHouseholdIncome2C:I(Gini100C^2)
## --------
##
## -------------STEP 5 -------------
##
## Call:
## lm(formula = acasiPerStr ~ Gini100C + MedianHouseholdIncome2C +
## Race + I(Gini100C^2) + Age0 + Sex + HseHldEducationDich +
## PovStat + CVDclusterdich + DMMclusterdich + PhysBMI + rxPsych +
## rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr +
## AlcoholCurr + IllicitDrugCurr + Gini100C:MedianHouseholdIncome2C +
## Gini100C:Race + MedianHouseholdIncome2C:Race, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -7.472 -2.345 -0.139 2.182 11.336
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 7.15601 0.59532 12.02 < 2e-16
## Gini100C -0.01530 0.02309 -0.66 0.5076
## MedianHouseholdIncome2C -0.01577 0.11550 -0.14 0.8914
## Race -0.48756 0.17445 -2.79 0.0052
## I(Gini100C^2) -0.00313 0.00177 -1.77 0.0763
## Age0 -0.01653 0.00884 -1.87 0.0617
## Sex -0.09696 0.15373 -0.63 0.5283
## HseHldEducationDich -1.00466 0.16603 -6.05 0.0000000017
## PovStat 0.75418 0.16135 4.67 0.0000031626
## CVDclusterdich 0.68392 0.40157 1.70 0.0887
## DMMclusterdich -0.05669 0.19790 -0.29 0.7745
## PhysBMI -0.01266 0.01047 -1.21 0.2269
## rxPsych 1.18644 0.21747 5.46 0.0000000553
## rxHTN -0.27856 0.20107 -1.39 0.1661
## rxDiabetes 0.41999 0.32258 1.30 0.1931
## rxHypercholesterolemia -0.27485 0.27271 -1.01 0.3137
## SmokingCurr -0.47184 0.19352 -2.44 0.0149
## AlcoholCurr 0.27776 0.15640 1.78 0.0759
## IllicitDrugCurr 0.38784 0.21328 1.82 0.0692
## Gini100C:MedianHouseholdIncome2C -0.00103 0.01506 -0.07 0.9454
## Gini100C:Race 0.02129 0.02688 0.79 0.4285
## MedianHouseholdIncome2C:Race -0.03207 0.16714 -0.19 0.8479
##
## Residual standard error: 3.17 on 1869 degrees of freedom
## Multiple R-squared: 0.0888, Adjusted R-squared: 0.0785
## F-statistic: 8.67 on 21 and 1869 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 5 : Gini100C:MedianHouseholdIncome2C
## --------
##
## -------------STEP 6 -------------
##
## Call:
## lm(formula = acasiPerStr ~ Gini100C + MedianHouseholdIncome2C +
## Race + I(Gini100C^2) + Age0 + Sex + HseHldEducationDich +
## PovStat + CVDclusterdich + DMMclusterdich + PhysBMI + rxPsych +
## rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr +
## AlcoholCurr + IllicitDrugCurr + Gini100C:Race + MedianHouseholdIncome2C:Race,
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -7.470 -2.343 -0.142 2.187 11.334
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 7.15358 0.59410 12.04 < 2e-16
## Gini100C -0.01604 0.02039 -0.79 0.4314
## MedianHouseholdIncome2C -0.01206 0.10194 -0.12 0.9059
## Race -0.48391 0.16605 -2.91 0.0036
## I(Gini100C^2) -0.00308 0.00157 -1.96 0.0497
## Age0 -0.01653 0.00884 -1.87 0.0615
## Sex -0.09686 0.15368 -0.63 0.5286
## HseHldEducationDich -1.00531 0.16571 -6.07 0.0000000016
## PovStat 0.75412 0.16131 4.68 0.0000031484
## CVDclusterdich 0.68420 0.40144 1.70 0.0885
## DMMclusterdich -0.05611 0.19767 -0.28 0.7765
## PhysBMI -0.01266 0.01047 -1.21 0.2266
## rxPsych 1.18635 0.21741 5.46 0.0000000549
## rxHTN -0.27817 0.20094 -1.38 0.1664
## rxDiabetes 0.41917 0.32227 1.30 0.1935
## rxHypercholesterolemia -0.27492 0.27264 -1.01 0.3134
## SmokingCurr -0.47175 0.19346 -2.44 0.0148
## AlcoholCurr 0.27742 0.15628 1.78 0.0760
## IllicitDrugCurr 0.38782 0.21322 1.82 0.0691
## Gini100C:Race 0.02199 0.02484 0.89 0.3760
## MedianHouseholdIncome2C:Race -0.03784 0.14429 -0.26 0.7932
##
## Residual standard error: 3.17 on 1870 degrees of freedom
## Multiple R-squared: 0.0888, Adjusted R-squared: 0.079
## F-statistic: 9.11 on 20 and 1870 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 6 : MedianHouseholdIncome2C:Race
## --------
##
## -------------STEP 7 -------------
##
## Call:
## lm(formula = acasiPerStr ~ Gini100C + MedianHouseholdIncome2C +
## Race + I(Gini100C^2) + Age0 + Sex + HseHldEducationDich +
## PovStat + CVDclusterdich + DMMclusterdich + PhysBMI + rxPsych +
## rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr +
## AlcoholCurr + IllicitDrugCurr + Gini100C:Race, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -7.483 -2.354 -0.144 2.181 11.321
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 7.17209 0.58974 12.16 < 2e-16
## Gini100C -0.01673 0.02021 -0.83 0.4079
## MedianHouseholdIncome2C -0.03020 0.07484 -0.40 0.6866
## Race -0.48866 0.16502 -2.96 0.0031
## I(Gini100C^2) -0.00308 0.00157 -1.96 0.0496
## Age0 -0.01654 0.00883 -1.87 0.0613
## Sex -0.09707 0.15364 -0.63 0.5276
## HseHldEducationDich -1.00680 0.16558 -6.08 0.0000000014
## PovStat 0.75010 0.16054 4.67 0.0000031885
## CVDclusterdich 0.68322 0.40132 1.70 0.0888
## DMMclusterdich -0.05556 0.19761 -0.28 0.7786
## PhysBMI -0.01294 0.01041 -1.24 0.2141
## rxPsych 1.18731 0.21732 5.46 0.0000000530
## rxHTN -0.27629 0.20076 -1.38 0.1689
## rxDiabetes 0.41811 0.32217 1.30 0.1945
## rxHypercholesterolemia -0.27345 0.27252 -1.00 0.3158
## SmokingCurr -0.47011 0.19331 -2.43 0.0151
## AlcoholCurr 0.27734 0.15624 1.78 0.0761
## IllicitDrugCurr 0.38701 0.21315 1.82 0.0696
## Gini100C:Race 0.02412 0.02347 1.03 0.3042
##
## Residual standard error: 3.17 on 1871 degrees of freedom
## Multiple R-squared: 0.0887, Adjusted R-squared: 0.0795
## F-statistic: 9.59 on 19 and 1871 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 7 : Gini100C:Race
## --------
##
## -------------STEP 8 -------------
##
## Call:
## lm(formula = acasiPerStr ~ Gini100C + MedianHouseholdIncome2C +
## Race + I(Gini100C^2) + Age0 + Sex + HseHldEducationDich +
## PovStat + CVDclusterdich + DMMclusterdich + PhysBMI + rxPsych +
## rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr +
## AlcoholCurr + IllicitDrugCurr, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -7.496 -2.340 -0.147 2.180 11.422
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 7.15326 0.58947 12.14 < 2e-16
## Gini100C -0.00457 0.01639 -0.28 0.7804
## MedianHouseholdIncome2C -0.03895 0.07435 -0.52 0.6004
## Race -0.50134 0.16456 -3.05 0.0023
## I(Gini100C^2) -0.00287 0.00155 -1.85 0.0649
## Age0 -0.01609 0.00882 -1.82 0.0684
## Sex -0.08987 0.15348 -0.59 0.5582
## HseHldEducationDich -1.02019 0.16507 -6.18 0.00000000078
## PovStat 0.77389 0.15886 4.87 0.00000120097
## CVDclusterdich 0.68668 0.40131 1.71 0.0872
## DMMclusterdich -0.05902 0.19758 -0.30 0.7652
## PhysBMI -0.01248 0.01040 -1.20 0.2305
## rxPsych 1.18829 0.21732 5.47 0.00000005168
## rxHTN -0.28111 0.20071 -1.40 0.1615
## rxDiabetes 0.42516 0.32210 1.32 0.1870
## rxHypercholesterolemia -0.27547 0.27251 -1.01 0.3122
## SmokingCurr -0.47384 0.19328 -2.45 0.0143
## AlcoholCurr 0.26941 0.15606 1.73 0.0844
## IllicitDrugCurr 0.39190 0.21310 1.84 0.0661
##
## Residual standard error: 3.17 on 1872 degrees of freedom
## Multiple R-squared: 0.0882, Adjusted R-squared: 0.0795
## F-statistic: 10.1 on 18 and 1872 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 8 : I(Gini100C^2)
## --------
##
## -------------STEP 9 -------------
##
## Call:
## lm(formula = acasiPerStr ~ Gini100C + MedianHouseholdIncome2C +
## Race + Age0 + Sex + HseHldEducationDich + PovStat + CVDclusterdich +
## DMMclusterdich + PhysBMI + rxPsych + rxHTN + rxDiabetes +
## rxHypercholesterolemia + SmokingCurr + AlcoholCurr + IllicitDrugCurr,
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -7.419 -2.345 -0.149 2.186 11.519
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 7.01304 0.58493 11.99 < 2e-16
## Gini100C -0.02536 0.01191 -2.13 0.0334
## MedianHouseholdIncome2C -0.06329 0.07322 -0.86 0.3875
## Race -0.46351 0.16339 -2.84 0.0046
## Age0 -0.01633 0.00883 -1.85 0.0644
## Sex -0.10499 0.15336 -0.68 0.4937
## HseHldEducationDich -1.03510 0.16497 -6.27 0.00000000043
## PovStat 0.76084 0.15881 4.79 0.00000179032
## CVDclusterdich 0.65169 0.40112 1.62 0.1044
## DMMclusterdich -0.07874 0.19742 -0.40 0.6901
## PhysBMI -0.01114 0.01038 -1.07 0.2837
## rxPsych 1.16847 0.21720 5.38 0.00000008396
## rxHTN -0.27278 0.20078 -1.36 0.1744
## rxDiabetes 0.45432 0.32192 1.41 0.1583
## rxHypercholesterolemia -0.28166 0.27267 -1.03 0.3017
## SmokingCurr -0.47261 0.19340 -2.44 0.0146
## AlcoholCurr 0.26710 0.15615 1.71 0.0873
## IllicitDrugCurr 0.36699 0.21281 1.72 0.0848
##
## Residual standard error: 3.17 on 1873 degrees of freedom
## Multiple R-squared: 0.0866, Adjusted R-squared: 0.0783
## F-statistic: 10.4 on 17 and 1873 DF, p-value: <2e-16
##
## ***************** END Backward Elimination: acasiPerStr *****************************
##
##
## ************************************************************
## ************************************************************
## BEGIN: acasiAnger
## ************************************************************
## ************************************************************
## -------------STEP 1 -------------
##
## Call:
## lm(formula = "acasiAnger ~ Gini100C*MedianHouseholdIncome2C*Race + I(Gini100C^2)*MedianHouseholdIncome2C*Race + Age0 + Sex + Race + HseHldEducationDich + PovStat + CVDclusterdich + DMMclusterdich + PhysBMI + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C",
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -13.55 -4.72 -0.67 4.19 20.61
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 13.70217 1.16941 11.72
## Gini100C -0.05868 0.04972 -1.18
## MedianHouseholdIncome2C -0.31025 0.40505 -0.77
## Race -1.23534 0.44816 -2.76
## I(Gini100C^2) 0.00299 0.00564 0.53
## Age0 -0.07483 0.01714 -4.37
## Sex -0.10535 0.29787 -0.35
## HseHldEducationDich -1.67787 0.32208 -5.21
## PovStat 0.88954 0.31268 2.84
## CVDclusterdich 0.46247 0.77706 0.60
## DMMclusterdich 0.02064 0.38405 0.05
## PhysBMI 0.02110 0.02027 1.04
## rxPsych 1.64088 0.42180 3.89
## rxHTN -0.41946 0.38947 -1.08
## rxDiabetes 0.73301 0.62524 1.17
## rxHypercholesterolemia 0.19021 0.52789 0.36
## SmokingCurr -0.48206 0.37502 -1.29
## AlcoholCurr 0.38296 0.30353 1.26
## IllicitDrugCurr 1.23324 0.41338 2.98
## Gini100C:MedianHouseholdIncome2C -0.06798 0.05132 -1.32
## Gini100C:Race 0.02180 0.06994 0.31
## MedianHouseholdIncome2C:Race -0.10844 0.48009 -0.23
## MedianHouseholdIncome2C:I(Gini100C^2) 0.00213 0.00652 0.33
## Race:I(Gini100C^2) 0.00171 0.00864 0.20
## Gini100C:MedianHouseholdIncome2C:Race 0.07935 0.06964 1.14
## MedianHouseholdIncome2C:Race:I(Gini100C^2) 0.00192 0.00787 0.24
## Pr(>|t|)
## (Intercept) < 2e-16
## Gini100C 0.2381
## MedianHouseholdIncome2C 0.4438
## Race 0.0059
## I(Gini100C^2) 0.5955
## Age0 0.00001340
## Sex 0.7236
## HseHldEducationDich 0.00000021
## PovStat 0.0045
## CVDclusterdich 0.5518
## DMMclusterdich 0.9571
## PhysBMI 0.2979
## rxPsych 0.0001
## rxHTN 0.2816
## rxDiabetes 0.2412
## rxHypercholesterolemia 0.7186
## SmokingCurr 0.1988
## AlcoholCurr 0.2072
## IllicitDrugCurr 0.0029
## Gini100C:MedianHouseholdIncome2C 0.1854
## Gini100C:Race 0.7553
## MedianHouseholdIncome2C:Race 0.8213
## MedianHouseholdIncome2C:I(Gini100C^2) 0.7440
## Race:I(Gini100C^2) 0.8431
## Gini100C:MedianHouseholdIncome2C:Race 0.2547
## MedianHouseholdIncome2C:Race:I(Gini100C^2) 0.8073
##
## Residual standard error: 6.13 on 1865 degrees of freedom
## Multiple R-squared: 0.0763, Adjusted R-squared: 0.0639
## F-statistic: 6.16 on 25 and 1865 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 1 : MedianHouseholdIncome2C:Race:I(Gini100C^2)
## --------
##
## -------------STEP 2 -------------
##
## Call:
## lm(formula = acasiAnger ~ Gini100C + MedianHouseholdIncome2C +
## Race + I(Gini100C^2) + Age0 + Sex + HseHldEducationDich +
## PovStat + CVDclusterdich + DMMclusterdich + PhysBMI + rxPsych +
## rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr +
## AlcoholCurr + IllicitDrugCurr + Gini100C:MedianHouseholdIncome2C +
## Gini100C:Race + MedianHouseholdIncome2C:Race + MedianHouseholdIncome2C:I(Gini100C^2) +
## Race:I(Gini100C^2) + Gini100C:MedianHouseholdIncome2C:Race,
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -13.643 -4.733 -0.655 4.204 20.600
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 13.71979 1.16688 11.76
## Gini100C -0.05709 0.04928 -1.16
## MedianHouseholdIncome2C -0.36938 0.32445 -1.14
## Race -1.23425 0.44802 -2.75
## I(Gini100C^2) 0.00248 0.00522 0.47
## Age0 -0.07498 0.01713 -4.38
## Sex -0.10382 0.29773 -0.35
## HseHldEducationDich -1.67524 0.32181 -5.21
## PovStat 0.89034 0.31259 2.85
## CVDclusterdich 0.46304 0.77686 0.60
## DMMclusterdich 0.02159 0.38394 0.06
## PhysBMI 0.02104 0.02026 1.04
## rxPsych 1.64231 0.42165 3.89
## rxHTN -0.41616 0.38914 -1.07
## rxDiabetes 0.73458 0.62505 1.18
## rxHypercholesterolemia 0.19130 0.52774 0.36
## SmokingCurr -0.48436 0.37481 -1.29
## AlcoholCurr 0.38586 0.30322 1.27
## IllicitDrugCurr 1.23088 0.41317 2.98
## Gini100C:MedianHouseholdIncome2C -0.07181 0.04884 -1.47
## Gini100C:Race 0.01867 0.06874 0.27
## MedianHouseholdIncome2C:Race -0.03348 0.36879 -0.09
## MedianHouseholdIncome2C:I(Gini100C^2) 0.00345 0.00364 0.95
## Race:I(Gini100C^2) 0.00177 0.00863 0.21
## Gini100C:MedianHouseholdIncome2C:Race 0.08465 0.06615 1.28
## Pr(>|t|)
## (Intercept) < 2e-16
## Gini100C 0.2468
## MedianHouseholdIncome2C 0.2551
## Race 0.0059
## I(Gini100C^2) 0.6354
## Age0 0.00001264
## Sex 0.7273
## HseHldEducationDich 0.00000021
## PovStat 0.0044
## CVDclusterdich 0.5512
## DMMclusterdich 0.9552
## PhysBMI 0.2991
## rxPsych 0.0001
## rxHTN 0.2850
## rxDiabetes 0.2401
## rxHypercholesterolemia 0.7170
## SmokingCurr 0.1964
## AlcoholCurr 0.2033
## IllicitDrugCurr 0.0029
## Gini100C:MedianHouseholdIncome2C 0.1416
## Gini100C:Race 0.7859
## MedianHouseholdIncome2C:Race 0.9277
## MedianHouseholdIncome2C:I(Gini100C^2) 0.3437
## Race:I(Gini100C^2) 0.8374
## Gini100C:MedianHouseholdIncome2C:Race 0.2008
##
## Residual standard error: 6.13 on 1866 degrees of freedom
## Multiple R-squared: 0.0763, Adjusted R-squared: 0.0644
## F-statistic: 6.42 on 24 and 1866 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 2 : Race:I(Gini100C^2)
## --------
##
## -------------STEP 3 -------------
##
## Call:
## lm(formula = acasiAnger ~ Gini100C + MedianHouseholdIncome2C +
## Race + I(Gini100C^2) + Age0 + Sex + HseHldEducationDich +
## PovStat + CVDclusterdich + DMMclusterdich + PhysBMI + rxPsych +
## rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr +
## AlcoholCurr + IllicitDrugCurr + Gini100C:MedianHouseholdIncome2C +
## Gini100C:Race + MedianHouseholdIncome2C:Race + MedianHouseholdIncome2C:I(Gini100C^2) +
## Gini100C:MedianHouseholdIncome2C:Race, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -13.619 -4.737 -0.648 4.192 20.615
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 13.68521 1.15436 11.86
## Gini100C -0.06107 0.04529 -1.35
## MedianHouseholdIncome2C -0.36016 0.32124 -1.12
## Race -1.17519 0.34333 -3.42
## I(Gini100C^2) 0.00322 0.00376 0.86
## Age0 -0.07500 0.01712 -4.38
## Sex -0.10153 0.29744 -0.34
## HseHldEducationDich -1.67888 0.32124 -5.23
## PovStat 0.88727 0.31215 2.84
## CVDclusterdich 0.46362 0.77666 0.60
## DMMclusterdich 0.02697 0.38294 0.07
## PhysBMI 0.02111 0.02025 1.04
## rxPsych 1.64501 0.42134 3.90
## rxHTN -0.41573 0.38903 -1.07
## rxDiabetes 0.72717 0.62385 1.17
## rxHypercholesterolemia 0.19192 0.52759 0.36
## SmokingCurr -0.48664 0.37455 -1.30
## AlcoholCurr 0.38961 0.30259 1.29
## IllicitDrugCurr 1.23207 0.41302 2.98
## Gini100C:MedianHouseholdIncome2C -0.07134 0.04877 -1.46
## Gini100C:Race 0.02609 0.05846 0.45
## MedianHouseholdIncome2C:Race -0.01912 0.36200 -0.05
## MedianHouseholdIncome2C:I(Gini100C^2) 0.00309 0.00318 0.97
## Gini100C:MedianHouseholdIncome2C:Race 0.08053 0.06301 1.28
## Pr(>|t|)
## (Intercept) < 2e-16
## Gini100C 0.17768
## MedianHouseholdIncome2C 0.26237
## Race 0.00063
## I(Gini100C^2) 0.39249
## Age0 0.00001251
## Sex 0.73288
## HseHldEducationDich 0.00000019
## PovStat 0.00453
## CVDclusterdich 0.55062
## DMMclusterdich 0.94387
## PhysBMI 0.29752
## rxPsych 0.00009788
## rxHTN 0.28538
## rxDiabetes 0.24392
## rxHypercholesterolemia 0.71607
## SmokingCurr 0.19401
## AlcoholCurr 0.19805
## IllicitDrugCurr 0.00289
## Gini100C:MedianHouseholdIncome2C 0.14369
## Gini100C:Race 0.65539
## MedianHouseholdIncome2C:Race 0.95789
## MedianHouseholdIncome2C:I(Gini100C^2) 0.33254
## Gini100C:MedianHouseholdIncome2C:Race 0.20140
##
## Residual standard error: 6.13 on 1867 degrees of freedom
## Multiple R-squared: 0.0762, Adjusted R-squared: 0.0649
## F-statistic: 6.7 on 23 and 1867 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 3 : MedianHouseholdIncome2C:I(Gini100C^2)
## --------
##
## -------------STEP 4 -------------
##
## Call:
## lm(formula = acasiAnger ~ Gini100C + MedianHouseholdIncome2C +
## Race + I(Gini100C^2) + Age0 + Sex + HseHldEducationDich +
## PovStat + CVDclusterdich + DMMclusterdich + PhysBMI + rxPsych +
## rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr +
## AlcoholCurr + IllicitDrugCurr + Gini100C:MedianHouseholdIncome2C +
## Gini100C:Race + MedianHouseholdIncome2C:Race + Gini100C:MedianHouseholdIncome2C:Race,
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -13.413 -4.775 -0.609 4.100 20.502
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 13.76009 1.15176 11.95
## Gini100C -0.05569 0.04495 -1.24
## MedianHouseholdIncome2C -0.20277 0.27717 -0.73
## Race -1.18739 0.34310 -3.46
## I(Gini100C^2) 0.00286 0.00374 0.76
## Age0 -0.07557 0.01711 -4.42
## Sex -0.11070 0.29729 -0.37
## HseHldEducationDich -1.67058 0.32112 -5.20
## PovStat 0.89040 0.31213 2.85
## CVDclusterdich 0.45958 0.77663 0.59
## DMMclusterdich 0.01386 0.38270 0.04
## PhysBMI 0.02101 0.02025 1.04
## rxPsych 1.62359 0.42075 3.86
## rxHTN -0.40402 0.38884 -1.04
## rxDiabetes 0.72718 0.62384 1.17
## rxHypercholesterolemia 0.19373 0.52758 0.37
## SmokingCurr -0.49713 0.37439 -1.33
## AlcoholCurr 0.39682 0.30249 1.31
## IllicitDrugCurr 1.21487 0.41263 2.94
## Gini100C:MedianHouseholdIncome2C -0.06115 0.04762 -1.28
## Gini100C:Race 0.00132 0.05258 0.03
## MedianHouseholdIncome2C:Race -0.13281 0.34246 -0.39
## Gini100C:MedianHouseholdIncome2C:Race 0.08969 0.06230 1.44
## Pr(>|t|)
## (Intercept) < 2e-16
## Gini100C 0.21549
## MedianHouseholdIncome2C 0.46452
## Race 0.00055
## I(Gini100C^2) 0.44443
## Age0 0.00001063
## Sex 0.70966
## HseHldEducationDich 0.00000022
## PovStat 0.00438
## CVDclusterdich 0.55408
## DMMclusterdich 0.97111
## PhysBMI 0.29964
## rxPsych 0.00012
## rxHTN 0.29892
## rxDiabetes 0.24390
## rxHypercholesterolemia 0.71350
## SmokingCurr 0.18439
## AlcoholCurr 0.18974
## IllicitDrugCurr 0.00328
## Gini100C:MedianHouseholdIncome2C 0.19931
## Gini100C:Race 0.97994
## MedianHouseholdIncome2C:Race 0.69821
## Gini100C:MedianHouseholdIncome2C:Race 0.15016
##
## Residual standard error: 6.13 on 1868 degrees of freedom
## Multiple R-squared: 0.0758, Adjusted R-squared: 0.0649
## F-statistic: 6.96 on 22 and 1868 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 4 : Gini100C:MedianHouseholdIncome2C:Race
## --------
##
## -------------STEP 5 -------------
##
## Call:
## lm(formula = acasiAnger ~ Gini100C + MedianHouseholdIncome2C +
## Race + I(Gini100C^2) + Age0 + Sex + HseHldEducationDich +
## PovStat + CVDclusterdich + DMMclusterdich + PhysBMI + rxPsych +
## rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr +
## AlcoholCurr + IllicitDrugCurr + Gini100C:MedianHouseholdIncome2C +
## Gini100C:Race + MedianHouseholdIncome2C:Race, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -13.124 -4.776 -0.682 4.121 20.598
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 13.810951 1.151546 11.99 < 2e-16
## Gini100C -0.063062 0.044668 -1.41 0.15818
## MedianHouseholdIncome2C 0.033491 0.223424 0.15 0.88086
## Race -1.277411 0.337446 -3.79 0.00016
## I(Gini100C^2) 0.000648 0.003415 0.19 0.84941
## Age0 -0.074429 0.017099 -4.35 0.00001416
## Sex -0.115222 0.297357 -0.39 0.69844
## HseHldEducationDich -1.678921 0.321162 -5.23 0.00000019
## PovStat 0.878422 0.312108 2.81 0.00494
## CVDclusterdich 0.442778 0.776768 0.57 0.56873
## DMMclusterdich 0.013028 0.382808 0.03 0.97285
## PhysBMI 0.021054 0.020259 1.04 0.29882
## rxPsych 1.604343 0.420660 3.81 0.00014
## rxHTN -0.400041 0.388941 -1.03 0.30383
## rxDiabetes 0.718193 0.623983 1.15 0.24989
## rxHypercholesterolemia 0.172461 0.527523 0.33 0.74376
## SmokingCurr -0.481075 0.374326 -1.29 0.19889
## AlcoholCurr 0.389671 0.302540 1.29 0.19791
## IllicitDrugCurr 1.196833 0.412558 2.90 0.00376
## Gini100C:MedianHouseholdIncome2C -0.006904 0.029132 -0.24 0.81269
## Gini100C:Race 0.012607 0.052003 0.24 0.80847
## MedianHouseholdIncome2C:Race -0.295792 0.323300 -0.91 0.36035
##
## Residual standard error: 6.13 on 1869 degrees of freedom
## Multiple R-squared: 0.0747, Adjusted R-squared: 0.0644
## F-statistic: 7.19 on 21 and 1869 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 5 : I(Gini100C^2)
## --------
##
## -------------STEP 6 -------------
##
## Call:
## lm(formula = acasiAnger ~ Gini100C + MedianHouseholdIncome2C +
## Race + Age0 + Sex + HseHldEducationDich + PovStat + CVDclusterdich +
## DMMclusterdich + PhysBMI + rxPsych + rxHTN + rxDiabetes +
## rxHypercholesterolemia + SmokingCurr + AlcoholCurr + IllicitDrugCurr +
## Gini100C:MedianHouseholdIncome2C + Gini100C:Race + MedianHouseholdIncome2C:Race,
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -13.160 -4.779 -0.679 4.126 20.615
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 13.84234 1.13933 12.15 < 2e-16
## Gini100C -0.05809 0.03618 -1.61 0.10857
## MedianHouseholdIncome2C 0.02887 0.22204 0.13 0.89656
## Race -1.29256 0.32780 -3.94 0.00008338
## Age0 -0.07440 0.01709 -4.35 0.00001420
## Sex -0.11312 0.29707 -0.38 0.70342
## HseHldEducationDich -1.67415 0.32009 -5.23 0.00000019
## PovStat 0.87987 0.31193 2.82 0.00484
## CVDclusterdich 0.44806 0.77607 0.58 0.56378
## DMMclusterdich 0.01519 0.38254 0.04 0.96833
## PhysBMI 0.02081 0.02021 1.03 0.30339
## rxPsych 1.60800 0.42011 3.83 0.00013
## rxHTN -0.40227 0.38866 -1.03 0.30080
## rxDiabetes 0.71481 0.62357 1.15 0.25181
## rxHypercholesterolemia 0.17379 0.52734 0.33 0.74177
## SmokingCurr -0.48135 0.37423 -1.29 0.19852
## AlcoholCurr 0.39125 0.30235 1.29 0.19581
## IllicitDrugCurr 1.20102 0.41186 2.92 0.00359
## Gini100C:MedianHouseholdIncome2C -0.00946 0.02584 -0.37 0.71447
## Gini100C:Race 0.01187 0.05184 0.23 0.81892
## MedianHouseholdIncome2C:Race -0.28141 0.31422 -0.90 0.37059
##
## Residual standard error: 6.13 on 1870 degrees of freedom
## Multiple R-squared: 0.0747, Adjusted R-squared: 0.0648
## F-statistic: 7.55 on 20 and 1870 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 6 : Gini100C:Race
## --------
##
## -------------STEP 7 -------------
##
## Call:
## lm(formula = acasiAnger ~ Gini100C + MedianHouseholdIncome2C +
## Race + Age0 + Sex + HseHldEducationDich + PovStat + CVDclusterdich +
## DMMclusterdich + PhysBMI + rxPsych + rxHTN + rxDiabetes +
## rxHypercholesterolemia + SmokingCurr + AlcoholCurr + IllicitDrugCurr +
## Gini100C:MedianHouseholdIncome2C + MedianHouseholdIncome2C:Race,
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -13.172 -4.777 -0.676 4.133 20.608
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 13.8290 1.1375 12.16 < 2e-16
## Gini100C -0.0518 0.0233 -2.22 0.02660
## MedianHouseholdIncome2C 0.0261 0.2216 0.12 0.90642
## Race -1.3026 0.3248 -4.01 0.00006290
## Age0 -0.0742 0.0171 -4.35 0.00001451
## Sex -0.1107 0.2968 -0.37 0.70915
## HseHldEducationDich -1.6773 0.3197 -5.25 0.00000017
## PovStat 0.8909 0.3081 2.89 0.00388
## CVDclusterdich 0.4487 0.7759 0.58 0.56313
## DMMclusterdich 0.0120 0.3822 0.03 0.97502
## PhysBMI 0.0212 0.0201 1.05 0.29386
## rxPsych 1.6078 0.4200 3.83 0.00013
## rxHTN -0.4058 0.3883 -1.05 0.29605
## rxDiabetes 0.7203 0.6229 1.16 0.24768
## rxHypercholesterolemia 0.1723 0.5272 0.33 0.74380
## SmokingCurr -0.4838 0.3740 -1.29 0.19595
## AlcoholCurr 0.3890 0.3021 1.29 0.19804
## IllicitDrugCurr 1.2029 0.4117 2.92 0.00352
## Gini100C:MedianHouseholdIncome2C -0.0118 0.0238 -0.50 0.62010
## MedianHouseholdIncome2C:Race -0.2878 0.3129 -0.92 0.35792
##
## Residual standard error: 6.13 on 1871 degrees of freedom
## Multiple R-squared: 0.0747, Adjusted R-squared: 0.0653
## F-statistic: 7.95 on 19 and 1871 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 7 : Gini100C:MedianHouseholdIncome2C
## --------
##
## -------------STEP 8 -------------
##
## Call:
## lm(formula = acasiAnger ~ Gini100C + MedianHouseholdIncome2C +
## Race + Age0 + Sex + HseHldEducationDich + PovStat + CVDclusterdich +
## DMMclusterdich + PhysBMI + rxPsych + rxHTN + rxDiabetes +
## rxHypercholesterolemia + SmokingCurr + AlcoholCurr + IllicitDrugCurr +
## MedianHouseholdIncome2C:Race, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -13.211 -4.768 -0.638 4.151 20.543
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 13.8212 1.1372 12.15 < 2e-16
## Gini100C -0.0513 0.0233 -2.20 0.02783
## MedianHouseholdIncome2C 0.0804 0.1926 0.42 0.67650
## Race -1.2716 0.3186 -3.99 0.00006838
## Age0 -0.0741 0.0171 -4.34 0.00001501
## Sex -0.1037 0.2964 -0.35 0.72645
## HseHldEducationDich -1.6843 0.3193 -5.27 0.00000015
## PovStat 0.9022 0.3072 2.94 0.00335
## CVDclusterdich 0.4619 0.7753 0.60 0.55136
## DMMclusterdich 0.0221 0.3816 0.06 0.95376
## PhysBMI 0.0211 0.0201 1.05 0.29605
## rxPsych 1.6114 0.4199 3.84 0.00013
## rxHTN -0.4057 0.3882 -1.05 0.29614
## rxDiabetes 0.7065 0.6222 1.14 0.25633
## rxHypercholesterolemia 0.1718 0.5271 0.33 0.74447
## SmokingCurr -0.4850 0.3739 -1.30 0.19478
## AlcoholCurr 0.3834 0.3018 1.27 0.20420
## IllicitDrugCurr 1.2107 0.4113 2.94 0.00328
## MedianHouseholdIncome2C:Race -0.3714 0.2635 -1.41 0.15878
##
## Residual standard error: 6.13 on 1872 degrees of freedom
## Multiple R-squared: 0.0746, Adjusted R-squared: 0.0657
## F-statistic: 8.38 on 18 and 1872 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 8 : MedianHouseholdIncome2C:Race
## --------
##
## -------------STEP 9 -------------
##
## Call:
## lm(formula = acasiAnger ~ Gini100C + MedianHouseholdIncome2C +
## Race + Age0 + Sex + HseHldEducationDich + PovStat + CVDclusterdich +
## DMMclusterdich + PhysBMI + rxPsych + rxHTN + rxDiabetes +
## rxHypercholesterolemia + SmokingCurr + AlcoholCurr + IllicitDrugCurr,
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -13.310 -4.799 -0.664 4.127 20.601
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 13.9951 1.1308 12.38 < 2e-16
## Gini100C -0.0463 0.0230 -2.01 0.04472
## MedianHouseholdIncome2C -0.1038 0.1416 -0.73 0.46331
## Race -1.3315 0.3159 -4.22 0.000026109
## Age0 -0.0737 0.0171 -4.32 0.000016431
## Sex -0.0986 0.2965 -0.33 0.73939
## HseHldEducationDich -1.7096 0.3189 -5.36 0.000000093
## PovStat 0.8842 0.3070 2.88 0.00402
## CVDclusterdich 0.4574 0.7755 0.59 0.55538
## DMMclusterdich 0.0258 0.3816 0.07 0.94619
## PhysBMI 0.0186 0.0201 0.93 0.35352
## rxPsych 1.6228 0.4199 3.86 0.00011
## rxHTN -0.3918 0.3882 -1.01 0.31286
## rxDiabetes 0.7004 0.6223 1.13 0.26054
## rxHypercholesterolemia 0.1848 0.5271 0.35 0.72590
## SmokingCurr -0.4721 0.3739 -1.26 0.20682
## AlcoholCurr 0.3759 0.3019 1.25 0.21319
## IllicitDrugCurr 1.2084 0.4114 2.94 0.00335
##
## Residual standard error: 6.13 on 1873 degrees of freedom
## Multiple R-squared: 0.0736, Adjusted R-squared: 0.0652
## F-statistic: 8.75 on 17 and 1873 DF, p-value: <2e-16
##
## ***************** END Backward Elimination: acasiAnger *****************************
##
## ************************************************************
## ************************************************************
## BEGIN: PhysMeanSBPsitimp
## ************************************************************
## ************************************************************
## -------------STEP 1 -------------
##
## Call:
## lm(formula = "PhysMeanSBPsitimp ~ Gini100C*PovStat*Race + I(Gini100C^2)*PovStat*Race + Age0 + Sex + Race + HseHldEducationDich + PovStat + CVDclusterdich + DMMclusterdich + PhysBMI + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C",
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -41.90 -10.49 -1.85 8.95 64.38
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 74.0515 3.0209 24.51 < 2e-16
## Gini100C 0.1851 0.1391 1.33 0.1834
## PovStat -0.0139 1.9437 -0.01 0.9943
## Race 1.3495 1.4045 0.96 0.3368
## I(Gini100C^2) -0.0318 0.0151 -2.11 0.0353
## Age0 0.5747 0.0441 13.02 < 2e-16
## Sex 3.6780 0.7672 4.79 0.0000018
## HseHldEducationDich -1.3366 0.8302 -1.61 0.1076
## CVDclusterdich 0.0655 2.0032 0.03 0.9739
## DMMclusterdich -0.5316 0.9886 -0.54 0.5908
## PhysBMI 0.5157 0.0521 9.90 < 2e-16
## rxPsych -0.3984 1.0883 -0.37 0.7143
## rxHTN 2.8245 1.0022 2.82 0.0049
## rxDiabetes 0.5198 1.6114 0.32 0.7470
## rxHypercholesterolemia -1.0392 1.3596 -0.76 0.4448
## SmokingCurr 0.1925 0.9646 0.20 0.8419
## AlcoholCurr 1.3492 0.7800 1.73 0.0839
## IllicitDrugCurr 2.4885 1.0639 2.34 0.0194
## MedianHouseholdIncome2C 0.1375 0.3778 0.36 0.7160
## Gini100C:PovStat -0.1539 0.2595 -0.59 0.5533
## Gini100C:Race -0.3365 0.1945 -1.73 0.0839
## PovStat:Race 2.2214 2.2767 0.98 0.3293
## PovStat:I(Gini100C^2) 0.0237 0.0278 0.85 0.3941
## Race:I(Gini100C^2) 0.0354 0.0222 1.60 0.1101
## Gini100C:PovStat:Race 0.5694 0.3340 1.70 0.0885
## PovStat:Race:I(Gini100C^2) -0.0419 0.0347 -1.21 0.2269
##
## Residual standard error: 15.8 on 1865 degrees of freedom
## Multiple R-squared: 0.184, Adjusted R-squared: 0.173
## F-statistic: 16.9 on 25 and 1865 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 1 : PovStat:Race:I(Gini100C^2)
## --------
##
## -------------STEP 2 -------------
##
## Call:
## lm(formula = PhysMeanSBPsitimp ~ Gini100C + PovStat + Race +
## I(Gini100C^2) + Age0 + Sex + HseHldEducationDich + CVDclusterdich +
## DMMclusterdich + PhysBMI + rxPsych + rxHTN + rxDiabetes +
## rxHypercholesterolemia + SmokingCurr + AlcoholCurr + IllicitDrugCurr +
## MedianHouseholdIncome2C + Gini100C:PovStat + Gini100C:Race +
## PovStat:Race + PovStat:I(Gini100C^2) + Race:I(Gini100C^2) +
## Gini100C:PovStat:Race, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -42.38 -10.44 -1.97 8.94 64.14
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 73.83690 3.01605 24.48 < 2e-16
## Gini100C 0.13627 0.13311 1.02 0.3061
## PovStat 1.32288 1.59853 0.83 0.4080
## Race 2.08115 1.26758 1.64 0.1008
## I(Gini100C^2) -0.02406 0.01367 -1.76 0.0786
## Age0 0.57175 0.04409 12.97 < 2e-16
## Sex 3.68631 0.76728 4.80 0.0000017
## HseHldEducationDich -1.35635 0.83015 -1.63 0.1025
## CVDclusterdich -0.02542 2.00207 -0.01 0.9899
## DMMclusterdich -0.52824 0.98875 -0.53 0.5932
## PhysBMI 0.51395 0.05206 9.87 < 2e-16
## rxPsych -0.38053 1.08836 -0.35 0.7266
## rxHTN 2.81266 1.00227 2.81 0.0051
## rxDiabetes 0.57038 1.61101 0.35 0.7233
## rxHypercholesterolemia -1.02754 1.35973 -0.76 0.4499
## SmokingCurr 0.19880 0.96471 0.21 0.8368
## AlcoholCurr 1.35844 0.78010 1.74 0.0818
## IllicitDrugCurr 2.48748 1.06401 2.34 0.0195
## MedianHouseholdIncome2C 0.13640 0.37785 0.36 0.7181
## Gini100C:PovStat -0.01468 0.23260 -0.06 0.9497
## Gini100C:Race -0.24466 0.17912 -1.37 0.1721
## PovStat:Race 0.39039 1.69976 0.23 0.8184
## PovStat:I(Gini100C^2) -0.00324 0.01662 -0.19 0.8456
## Race:I(Gini100C^2) 0.01841 0.01712 1.08 0.2824
## Gini100C:PovStat:Race 0.33178 0.27011 1.23 0.2195
##
## Residual standard error: 15.8 on 1866 degrees of freedom
## Multiple R-squared: 0.184, Adjusted R-squared: 0.173
## F-statistic: 17.5 on 24 and 1866 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 2 : PovStat:I(Gini100C^2)
## --------
##
## -------------STEP 3 -------------
##
## Call:
## lm(formula = PhysMeanSBPsitimp ~ Gini100C + PovStat + Race +
## I(Gini100C^2) + Age0 + Sex + HseHldEducationDich + CVDclusterdich +
## DMMclusterdich + PhysBMI + rxPsych + rxHTN + rxDiabetes +
## rxHypercholesterolemia + SmokingCurr + AlcoholCurr + IllicitDrugCurr +
## MedianHouseholdIncome2C + Gini100C:PovStat + Gini100C:Race +
## PovStat:Race + Race:I(Gini100C^2) + Gini100C:PovStat:Race,
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -42.49 -10.43 -1.97 8.96 64.17
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 73.8926 3.0017 24.62 < 2e-16
## Gini100C 0.1424 0.1294 1.10 0.2712
## PovStat 1.1615 1.3668 0.85 0.3955
## Race 2.1007 1.2633 1.66 0.0965
## I(Gini100C^2) -0.0250 0.0128 -1.96 0.0507
## Age0 0.5718 0.0441 12.97 < 2e-16
## Sex 3.6862 0.7671 4.81 0.0000017
## HseHldEducationDich -1.3617 0.8295 -1.64 0.1008
## CVDclusterdich -0.0295 2.0014 -0.01 0.9883
## DMMclusterdich -0.5293 0.9885 -0.54 0.5924
## PhysBMI 0.5138 0.0520 9.87 < 2e-16
## rxPsych -0.3903 1.0869 -0.36 0.7196
## rxHTN 2.8088 1.0018 2.80 0.0051
## rxDiabetes 0.5774 1.6102 0.36 0.7199
## rxHypercholesterolemia -1.0302 1.3593 -0.76 0.4486
## SmokingCurr 0.1993 0.9645 0.21 0.8363
## AlcoholCurr 1.3587 0.7799 1.74 0.0816
## IllicitDrugCurr 2.4904 1.0636 2.34 0.0193
## MedianHouseholdIncome2C 0.1395 0.3774 0.37 0.7118
## Gini100C:PovStat -0.0314 0.2160 -0.15 0.8843
## Gini100C:Race -0.2413 0.1782 -1.35 0.1760
## PovStat:Race 0.4463 1.6749 0.27 0.7899
## Race:I(Gini100C^2) 0.0173 0.0162 1.07 0.2850
## Gini100C:PovStat:Race 0.3274 0.2691 1.22 0.2239
##
## Residual standard error: 15.8 on 1867 degrees of freedom
## Multiple R-squared: 0.184, Adjusted R-squared: 0.174
## F-statistic: 18.3 on 23 and 1867 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 3 : Race:I(Gini100C^2)
## --------
##
## -------------STEP 4 -------------
##
## Call:
## lm(formula = PhysMeanSBPsitimp ~ Gini100C + PovStat + Race +
## I(Gini100C^2) + Age0 + Sex + HseHldEducationDich + CVDclusterdich +
## DMMclusterdich + PhysBMI + rxPsych + rxHTN + rxDiabetes +
## rxHypercholesterolemia + SmokingCurr + AlcoholCurr + IllicitDrugCurr +
## MedianHouseholdIncome2C + Gini100C:PovStat + Gini100C:Race +
## PovStat:Race + Gini100C:PovStat:Race, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -41.86 -10.34 -2.01 8.86 63.87
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 73.29569 2.94944 24.85 < 2e-16
## Gini100C 0.07572 0.11336 0.67 0.5042
## PovStat 1.18980 1.36663 0.87 0.3841
## Race 2.88560 1.02829 2.81 0.0051
## I(Gini100C^2) -0.01441 0.00809 -1.78 0.0750
## Age0 0.57130 0.04407 12.96 < 2e-16
## Sex 3.72823 0.76610 4.87 0.0000012
## HseHldEducationDich -1.40434 0.82854 -1.69 0.0903
## CVDclusterdich -0.00235 2.00136 0.00 0.9991
## DMMclusterdich -0.44314 0.98522 -0.45 0.6529
## PhysBMI 0.51547 0.05203 9.91 < 2e-16
## rxPsych -0.34989 1.08631 -0.32 0.7474
## rxHTN 2.80694 1.00185 2.80 0.0051
## rxDiabetes 0.48337 1.60786 0.30 0.7637
## rxHypercholesterolemia -1.02457 1.35935 -0.75 0.4511
## SmokingCurr 0.18004 0.96433 0.19 0.8519
## AlcoholCurr 1.37699 0.77974 1.77 0.0776
## IllicitDrugCurr 2.53186 1.06296 2.38 0.0173
## MedianHouseholdIncome2C 0.12537 0.37721 0.33 0.7397
## Gini100C:PovStat -0.01493 0.21550 -0.07 0.9448
## Gini100C:Race -0.14431 0.15345 -0.94 0.3471
## PovStat:Race 0.37739 1.67376 0.23 0.8216
## Gini100C:PovStat:Race 0.34357 0.26868 1.28 0.2012
##
## Residual standard error: 15.8 on 1868 degrees of freedom
## Multiple R-squared: 0.183, Adjusted R-squared: 0.174
## F-statistic: 19 on 22 and 1868 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 4 : Gini100C:PovStat:Race
## --------
##
## -------------STEP 5 -------------
##
## Call:
## lm(formula = PhysMeanSBPsitimp ~ Gini100C + PovStat + Race +
## I(Gini100C^2) + Age0 + Sex + HseHldEducationDich + CVDclusterdich +
## DMMclusterdich + PhysBMI + rxPsych + rxHTN + rxDiabetes +
## rxHypercholesterolemia + SmokingCurr + AlcoholCurr + IllicitDrugCurr +
## MedianHouseholdIncome2C + Gini100C:PovStat + Gini100C:Race +
## PovStat:Race, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -41.44 -10.41 -1.86 8.89 63.68
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 73.21215 2.94921 24.82 < 2e-16
## Gini100C 0.01589 0.10327 0.15 0.8777
## PovStat 1.68209 1.31151 1.28 0.1998
## Race 2.94924 1.02726 2.87 0.0041
## I(Gini100C^2) -0.01234 0.00793 -1.56 0.1198
## Age0 0.57099 0.04408 12.95 < 2e-16
## Sex 3.71215 0.76613 4.85 0.0000014
## HseHldEducationDich -1.43002 0.82844 -1.73 0.0845
## CVDclusterdich 0.05326 2.00123 0.03 0.9788
## DMMclusterdich -0.45035 0.98538 -0.46 0.6477
## PhysBMI 0.51529 0.05203 9.90 < 2e-16
## rxPsych -0.32987 1.08638 -0.30 0.7614
## rxHTN 2.80336 1.00202 2.80 0.0052
## rxDiabetes 0.55085 1.60726 0.34 0.7318
## rxHypercholesterolemia -1.03291 1.35957 -0.76 0.4475
## SmokingCurr 0.15617 0.96431 0.16 0.8714
## AlcoholCurr 1.38031 0.77987 1.77 0.0769
## IllicitDrugCurr 2.56359 1.06285 2.41 0.0160
## MedianHouseholdIncome2C 0.09727 0.37664 0.26 0.7962
## Gini100C:PovStat 0.20834 0.12633 1.65 0.0993
## Gini100C:Race -0.03122 0.12542 -0.25 0.8034
## PovStat:Race -0.00718 1.64680 0.00 0.9965
##
## Residual standard error: 15.8 on 1869 degrees of freedom
## Multiple R-squared: 0.182, Adjusted R-squared: 0.173
## F-statistic: 19.9 on 21 and 1869 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 5 : PovStat:Race
## --------
##
## -------------STEP 6 -------------
##
## Call:
## lm(formula = PhysMeanSBPsitimp ~ Gini100C + PovStat + Race +
## I(Gini100C^2) + Age0 + Sex + HseHldEducationDich + CVDclusterdich +
## DMMclusterdich + PhysBMI + rxPsych + rxHTN + rxDiabetes +
## rxHypercholesterolemia + SmokingCurr + AlcoholCurr + IllicitDrugCurr +
## MedianHouseholdIncome2C + Gini100C:PovStat + Gini100C:Race,
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -41.44 -10.41 -1.86 8.89 63.68
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 73.21296 2.94245 24.88 < 2e-16
## Gini100C 0.01586 0.10300 0.15 0.87762
## PovStat 1.67757 0.80162 2.09 0.03651
## Race 2.94668 0.84378 3.49 0.00049
## I(Gini100C^2) -0.01234 0.00791 -1.56 0.11890
## Age0 0.57100 0.04405 12.96 < 2e-16
## Sex 3.71212 0.76590 4.85 0.0000014
## HseHldEducationDich -1.43010 0.82805 -1.73 0.08432
## CVDclusterdich 0.05327 2.00069 0.03 0.97876
## DMMclusterdich -0.45037 0.98510 -0.46 0.64759
## PhysBMI 0.51530 0.05192 9.93 < 2e-16
## rxPsych -0.32999 1.08572 -0.30 0.76121
## rxHTN 2.80317 1.00078 2.80 0.00515
## rxDiabetes 0.55105 1.60618 0.34 0.73158
## rxHypercholesterolemia -1.03308 1.35867 -0.76 0.44714
## SmokingCurr 0.15605 0.96366 0.16 0.87138
## AlcoholCurr 1.38017 0.77905 1.77 0.07662
## IllicitDrugCurr 2.56360 1.06257 2.41 0.01593
## MedianHouseholdIncome2C 0.09706 0.37330 0.26 0.79489
## Gini100C:PovStat 0.20820 0.12218 1.70 0.08855
## Gini100C:Race -0.03119 0.12510 -0.25 0.80316
##
## Residual standard error: 15.8 on 1870 degrees of freedom
## Multiple R-squared: 0.182, Adjusted R-squared: 0.174
## F-statistic: 20.9 on 20 and 1870 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 6 : Gini100C:Race
## --------
##
## -------------STEP 7 -------------
##
## Call:
## lm(formula = PhysMeanSBPsitimp ~ Gini100C + PovStat + Race +
## I(Gini100C^2) + Age0 + Sex + HseHldEducationDich + CVDclusterdich +
## DMMclusterdich + PhysBMI + rxPsych + rxHTN + rxDiabetes +
## rxHypercholesterolemia + SmokingCurr + AlcoholCurr + IllicitDrugCurr +
## MedianHouseholdIncome2C + Gini100C:PovStat, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -41.51 -10.38 -1.85 8.92 63.57
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 73.22341 2.94142 24.89 < 2e-16
## Gini100C 0.00399 0.09131 0.04 0.96515
## PovStat 1.64656 0.79172 2.08 0.03769
## Race 2.97759 0.83441 3.57 0.00037
## I(Gini100C^2) -0.01246 0.00789 -1.58 0.11442
## Age0 0.57056 0.04400 12.97 < 2e-16
## Sex 3.70359 0.76494 4.84 0.0000014
## HseHldEducationDich -1.42080 0.82700 -1.72 0.08596
## CVDclusterdich 0.05113 2.00017 0.03 0.97961
## DMMclusterdich -0.44578 0.98468 -0.45 0.65081
## PhysBMI 0.51472 0.05185 9.93 < 2e-16
## rxPsych -0.32478 1.08525 -0.30 0.76477
## rxHTN 2.80853 1.00030 2.81 0.00504
## rxDiabetes 0.54107 1.60528 0.34 0.73611
## rxHypercholesterolemia -1.02883 1.35823 -0.76 0.44886
## SmokingCurr 0.15992 0.96330 0.17 0.86816
## AlcoholCurr 1.39058 0.77773 1.79 0.07394
## IllicitDrugCurr 2.55861 1.06211 2.41 0.01609
## MedianHouseholdIncome2C 0.10811 0.37057 0.29 0.77052
## Gini100C:PovStat 0.19742 0.11425 1.73 0.08416
##
## Residual standard error: 15.8 on 1871 degrees of freedom
## Multiple R-squared: 0.182, Adjusted R-squared: 0.174
## F-statistic: 22 on 19 and 1871 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 7 : I(Gini100C^2)
## --------
##
## -------------STEP 8 -------------
##
## Call:
## lm(formula = PhysMeanSBPsitimp ~ Gini100C + PovStat + Race +
## Age0 + Sex + HseHldEducationDich + CVDclusterdich + DMMclusterdich +
## PhysBMI + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia +
## SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C +
## Gini100C:PovStat, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -42.95 -10.42 -1.94 8.99 63.70
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 72.59160 2.91525 24.90 < 2e-16
## Gini100C -0.07020 0.07833 -0.90 0.37022
## PovStat 1.59121 0.79126 2.01 0.04447
## Race 3.18352 0.82449 3.86 0.00012
## Age0 0.57001 0.04402 12.95 < 2e-16
## Sex 3.64297 0.76428 4.77 0.000002
## HseHldEducationDich -1.50951 0.82542 -1.83 0.06759
## CVDclusterdich -0.08737 1.99905 -0.04 0.96514
## DMMclusterdich -0.52780 0.98370 -0.54 0.59165
## PhysBMI 0.52036 0.05175 10.06 < 2e-16
## rxPsych -0.38622 1.08498 -0.36 0.72190
## rxHTN 2.84045 1.00049 2.84 0.00457
## rxDiabetes 0.66004 1.60415 0.41 0.68078
## rxHypercholesterolemia -1.04933 1.35871 -0.77 0.44003
## SmokingCurr 0.16195 0.96368 0.17 0.86656
## AlcoholCurr 1.38145 0.77802 1.78 0.07596
## IllicitDrugCurr 2.45895 1.06066 2.32 0.02054
## MedianHouseholdIncome2C 0.00555 0.36498 0.02 0.98787
## Gini100C:PovStat 0.16188 0.11206 1.44 0.14874
##
## Residual standard error: 15.8 on 1872 degrees of freedom
## Multiple R-squared: 0.181, Adjusted R-squared: 0.173
## F-statistic: 23 on 18 and 1872 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 8 : Gini100C:PovStat
## --------
##
## -------------STEP 9 -------------
##
## Call:
## lm(formula = PhysMeanSBPsitimp ~ Gini100C + PovStat + Race +
## Age0 + Sex + HseHldEducationDich + CVDclusterdich + DMMclusterdich +
## PhysBMI + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia +
## SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C,
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -41.66 -10.34 -2.02 9.13 63.96
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 72.49050 2.91526 24.87 < 2e-16
## Gini100C 0.00362 0.05938 0.06 0.9514
## PovStat 1.59748 0.79148 2.02 0.0437
## Race 3.37234 0.81430 4.14 0.0000361
## Age0 0.57242 0.04400 13.01 < 2e-16
## Sex 3.66620 0.76433 4.80 0.0000017
## HseHldEducationDich -1.61826 0.82221 -1.97 0.0492
## CVDclusterdich -0.02547 1.99917 -0.01 0.9898
## DMMclusterdich -0.51091 0.98392 -0.52 0.6036
## PhysBMI 0.51949 0.05176 10.04 < 2e-16
## rxPsych -0.27369 1.08250 -0.25 0.8004
## rxHTN 2.82086 1.00069 2.82 0.0049
## rxDiabetes 0.62450 1.60443 0.39 0.6971
## rxHypercholesterolemia -1.02005 1.35895 -0.75 0.4530
## SmokingCurr 0.14665 0.96390 0.15 0.8791
## AlcoholCurr 1.38557 0.77824 1.78 0.0752
## IllicitDrugCurr 2.49823 1.06062 2.36 0.0186
## MedianHouseholdIncome2C 0.02035 0.36494 0.06 0.9555
##
## Residual standard error: 15.8 on 1873 degrees of freedom
## Multiple R-squared: 0.18, Adjusted R-squared: 0.173
## F-statistic: 24.3 on 17 and 1873 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 9 : Gini100C
## --------
## Warning: All variables have been thrown out of the model.
## No model could be specified.
## ***************** END Backward Elimination: PhysMeanSBPsitimp *****************************
##
##
## ************************************************************
## ************************************************************
## BEGIN: PhysMeanDBPsitimp
## ************************************************************
## ************************************************************
## -------------STEP 1 -------------
##
## Call:
## lm(formula = "PhysMeanDBPsitimp ~ Gini100C*PovStat*Race + I(Gini100C^2)*PovStat*Race + Age0 + Sex + Race + HseHldEducationDich + PovStat + CVDclusterdich + DMMclusterdich + PhysBMI + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C",
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -32.57 -7.61 -0.21 7.18 40.75
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 58.58709 1.96778 29.77 < 2e-16
## Gini100C 0.05378 0.09059 0.59 0.5528
## PovStat 1.23496 1.26609 0.98 0.3295
## Race 0.52988 0.91490 0.58 0.5626
## I(Gini100C^2) -0.01404 0.00983 -1.43 0.1532
## Age0 0.08167 0.02876 2.84 0.0046
## Sex 4.09757 0.49975 8.20 4.4e-16
## HseHldEducationDich -0.39240 0.54078 -0.73 0.4682
## CVDclusterdich -0.42571 1.30488 -0.33 0.7443
## DMMclusterdich -0.54493 0.64398 -0.85 0.3976
## PhysBMI 0.24835 0.03392 7.32 3.6e-13
## rxPsych 0.32336 0.70892 0.46 0.6484
## rxHTN 2.56324 0.65281 3.93 8.9e-05
## rxDiabetes -2.81017 1.04962 -2.68 0.0075
## rxHypercholesterolemia -1.79666 0.88562 -2.03 0.0426
## SmokingCurr 0.81279 0.62833 1.29 0.1960
## AlcoholCurr 0.99006 0.50811 1.95 0.0515
## IllicitDrugCurr 0.70374 0.69299 1.02 0.3100
## MedianHouseholdIncome2C -0.13840 0.24610 -0.56 0.5739
## Gini100C:PovStat -0.03287 0.16906 -0.19 0.8459
## Gini100C:Race -0.12457 0.12672 -0.98 0.3257
## PovStat:Race -0.21438 1.48301 -0.14 0.8851
## PovStat:I(Gini100C^2) -0.00414 0.01811 -0.23 0.8192
## Race:I(Gini100C^2) 0.01245 0.01444 0.86 0.3888
## Gini100C:PovStat:Race 0.25965 0.21759 1.19 0.2329
## PovStat:Race:I(Gini100C^2) -0.00425 0.02260 -0.19 0.8509
##
## Residual standard error: 10.3 on 1865 degrees of freedom
## Multiple R-squared: 0.0866, Adjusted R-squared: 0.0743
## F-statistic: 7.07 on 25 and 1865 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 1 : PovStat:Race:I(Gini100C^2)
## --------
##
## -------------STEP 2 -------------
##
## Call:
## lm(formula = PhysMeanDBPsitimp ~ Gini100C + PovStat + Race +
## I(Gini100C^2) + Age0 + Sex + HseHldEducationDich + CVDclusterdich +
## DMMclusterdich + PhysBMI + rxPsych + rxHTN + rxDiabetes +
## rxHypercholesterolemia + SmokingCurr + AlcoholCurr + IllicitDrugCurr +
## MedianHouseholdIncome2C + Gini100C:PovStat + Gini100C:Race +
## PovStat:Race + PovStat:I(Gini100C^2) + Race:I(Gini100C^2) +
## Gini100C:PovStat:Race, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -32.55 -7.60 -0.18 7.20 40.71
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 58.56534 1.96387 29.82 < 2e-16
## Gini100C 0.04883 0.08667 0.56 0.5732
## PovStat 1.37043 1.04086 1.32 0.1881
## Race 0.60402 0.82537 0.73 0.4644
## I(Gini100C^2) -0.01326 0.00890 -1.49 0.1364
## Age0 0.08137 0.02871 2.83 0.0046
## Sex 4.09841 0.49960 8.20 4.3e-16
## HseHldEducationDich -0.39440 0.54054 -0.73 0.4657
## CVDclusterdich -0.43493 1.30362 -0.33 0.7387
## DMMclusterdich -0.54459 0.64381 -0.85 0.3977
## PhysBMI 0.24817 0.03390 7.32 3.7e-13
## rxPsych 0.32517 0.70867 0.46 0.6464
## rxHTN 2.56204 0.65261 3.93 9.0e-05
## rxDiabetes -2.80505 1.04899 -2.67 0.0076
## rxHypercholesterolemia -1.79548 0.88537 -2.03 0.0427
## SmokingCurr 0.81343 0.62816 1.29 0.1955
## AlcoholCurr 0.99100 0.50795 1.95 0.0512
## IllicitDrugCurr 0.70364 0.69281 1.02 0.3099
## MedianHouseholdIncome2C -0.13850 0.24603 -0.56 0.5735
## Gini100C:PovStat -0.01876 0.15146 -0.12 0.9014
## Gini100C:Race -0.11527 0.11663 -0.99 0.3231
## PovStat:Race -0.39994 1.10678 -0.36 0.7179
## PovStat:I(Gini100C^2) -0.00687 0.01082 -0.63 0.5257
## Race:I(Gini100C^2) 0.01072 0.01115 0.96 0.3362
## Gini100C:PovStat:Race 0.23557 0.17588 1.34 0.1806
##
## Residual standard error: 10.3 on 1866 degrees of freedom
## Multiple R-squared: 0.0866, Adjusted R-squared: 0.0748
## F-statistic: 7.37 on 24 and 1866 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 2 : PovStat:I(Gini100C^2)
## --------
##
## -------------STEP 3 -------------
##
## Call:
## lm(formula = PhysMeanDBPsitimp ~ Gini100C + PovStat + Race +
## I(Gini100C^2) + Age0 + Sex + HseHldEducationDich + CVDclusterdich +
## DMMclusterdich + PhysBMI + rxPsych + rxHTN + rxDiabetes +
## rxHypercholesterolemia + SmokingCurr + AlcoholCurr + IllicitDrugCurr +
## MedianHouseholdIncome2C + Gini100C:PovStat + Gini100C:Race +
## PovStat:Race + Race:I(Gini100C^2) + Gini100C:PovStat:Race,
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -32.42 -7.63 -0.18 7.19 40.52
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 58.68361 1.95469 30.02 < 2e-16
## Gini100C 0.06175 0.08423 0.73 0.4636
## PovStat 1.02814 0.89008 1.16 0.2482
## Race 0.64545 0.82265 0.78 0.4328
## I(Gini100C^2) -0.01526 0.00833 -1.83 0.0670
## Age0 0.08150 0.02870 2.84 0.0046
## Sex 4.09824 0.49952 8.20 4.3e-16
## HseHldEducationDich -0.40585 0.54015 -0.75 0.4525
## CVDclusterdich -0.44350 1.30334 -0.34 0.7337
## DMMclusterdich -0.54691 0.64370 -0.85 0.3956
## PhysBMI 0.24789 0.03389 7.31 3.8e-13
## rxPsych 0.30440 0.70780 0.43 0.6672
## rxHTN 2.55396 0.65238 3.91 9.4e-05
## rxDiabetes -2.79015 1.04856 -2.66 0.0079
## rxHypercholesterolemia -1.80117 0.88518 -2.03 0.0420
## SmokingCurr 0.81453 0.62806 1.30 0.1948
## AlcoholCurr 0.99162 0.50787 1.95 0.0510
## IllicitDrugCurr 0.70980 0.69264 1.02 0.3056
## MedianHouseholdIncome2C -0.13204 0.24578 -0.54 0.5912
## Gini100C:PovStat -0.05432 0.14069 -0.39 0.6994
## Gini100C:Race -0.10805 0.11606 -0.93 0.3520
## PovStat:Race -0.28136 1.09072 -0.26 0.7965
## Race:I(Gini100C^2) 0.00845 0.01055 0.80 0.4235
## Gini100C:PovStat:Race 0.22623 0.17523 1.29 0.1968
##
## Residual standard error: 10.3 on 1867 degrees of freedom
## Multiple R-squared: 0.0864, Adjusted R-squared: 0.0751
## F-statistic: 7.67 on 23 and 1867 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 3 : Race:I(Gini100C^2)
## --------
##
## -------------STEP 4 -------------
##
## Call:
## lm(formula = PhysMeanDBPsitimp ~ Gini100C + PovStat + Race +
## I(Gini100C^2) + Age0 + Sex + HseHldEducationDich + CVDclusterdich +
## DMMclusterdich + PhysBMI + rxPsych + rxHTN + rxDiabetes +
## rxHypercholesterolemia + SmokingCurr + AlcoholCurr + IllicitDrugCurr +
## MedianHouseholdIncome2C + Gini100C:PovStat + Gini100C:Race +
## PovStat:Race + Gini100C:PovStat:Race, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -32.58 -7.56 -0.22 7.20 40.72
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 58.39261 1.92042 30.41 < 2e-16
## Gini100C 0.02926 0.07381 0.40 0.6918
## PovStat 1.04192 0.88983 1.17 0.2418
## Race 1.02807 0.66953 1.54 0.1248
## I(Gini100C^2) -0.01010 0.00527 -1.92 0.0554
## Age0 0.08125 0.02870 2.83 0.0047
## Sex 4.11872 0.49882 8.26 2.8e-16
## HseHldEducationDich -0.42661 0.53948 -0.79 0.4292
## CVDclusterdich -0.43028 1.30311 -0.33 0.7413
## DMMclusterdich -0.50490 0.64149 -0.79 0.4313
## PhysBMI 0.24869 0.03387 7.34 3.1e-13
## rxPsych 0.32411 0.70731 0.46 0.6468
## rxHTN 2.55303 0.65232 3.91 9.4e-05
## rxDiabetes -2.83599 1.04690 -2.71 0.0068
## rxHypercholesterolemia -1.79841 0.88509 -2.03 0.0423
## SmokingCurr 0.80514 0.62789 1.28 0.1999
## AlcoholCurr 1.00051 0.50770 1.97 0.0489
## IllicitDrugCurr 0.73002 0.69211 1.05 0.2917
## MedianHouseholdIncome2C -0.13891 0.24561 -0.57 0.5718
## Gini100C:PovStat -0.04627 0.14031 -0.33 0.7416
## Gini100C:Race -0.06078 0.09991 -0.61 0.5430
## PovStat:Race -0.31494 1.08981 -0.29 0.7726
## Gini100C:PovStat:Race 0.23412 0.17494 1.34 0.1810
##
## Residual standard error: 10.3 on 1868 degrees of freedom
## Multiple R-squared: 0.0861, Adjusted R-squared: 0.0753
## F-statistic: 8 on 22 and 1868 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 4 : Gini100C:PovStat:Race
## --------
##
## -------------STEP 5 -------------
##
## Call:
## lm(formula = PhysMeanDBPsitimp ~ Gini100C + PovStat + Race +
## I(Gini100C^2) + Age0 + Sex + HseHldEducationDich + CVDclusterdich +
## DMMclusterdich + PhysBMI + rxPsych + rxHTN + rxDiabetes +
## rxHypercholesterolemia + SmokingCurr + AlcoholCurr + IllicitDrugCurr +
## MedianHouseholdIncome2C + Gini100C:PovStat + Gini100C:Race +
## PovStat:Race, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -32.54 -7.61 -0.10 7.24 40.35
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 58.33568 1.92035 30.38 < 2e-16
## Gini100C -0.01151 0.06725 -0.17 0.8641
## PovStat 1.37739 0.85398 1.61 0.1069
## Race 1.07144 0.66889 1.60 0.1094
## I(Gini100C^2) -0.00868 0.00516 -1.68 0.0927
## Age0 0.08104 0.02870 2.82 0.0048
## Sex 4.10776 0.49886 8.23 3.4e-16
## HseHldEducationDich -0.44412 0.53943 -0.82 0.4104
## CVDclusterdich -0.39239 1.30308 -0.30 0.7634
## DMMclusterdich -0.50981 0.64162 -0.79 0.4270
## PhysBMI 0.24857 0.03388 7.34 3.3e-13
## rxPsych 0.33775 0.70738 0.48 0.6331
## rxHTN 2.55060 0.65246 3.91 9.6e-05
## rxDiabetes -2.79001 1.04655 -2.67 0.0077
## rxHypercholesterolemia -1.80410 0.88527 -2.04 0.0417
## SmokingCurr 0.78886 0.62790 1.26 0.2091
## AlcoholCurr 1.00278 0.50780 1.97 0.0484
## IllicitDrugCurr 0.75164 0.69207 1.09 0.2776
## MedianHouseholdIncome2C -0.15805 0.24524 -0.64 0.5194
## Gini100C:PovStat 0.10587 0.08226 1.29 0.1982
## Gini100C:Race 0.01628 0.08167 0.20 0.8420
## PovStat:Race -0.57701 1.07230 -0.54 0.5906
##
## Residual standard error: 10.3 on 1869 degrees of freedom
## Multiple R-squared: 0.0852, Adjusted R-squared: 0.0749
## F-statistic: 8.29 on 21 and 1869 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 5 : Gini100C:Race
## --------
##
## -------------STEP 6 -------------
##
## Call:
## lm(formula = PhysMeanDBPsitimp ~ Gini100C + PovStat + Race +
## I(Gini100C^2) + Age0 + Sex + HseHldEducationDich + CVDclusterdich +
## DMMclusterdich + PhysBMI + rxPsych + rxHTN + rxDiabetes +
## rxHypercholesterolemia + SmokingCurr + AlcoholCurr + IllicitDrugCurr +
## MedianHouseholdIncome2C + Gini100C:PovStat + PovStat:Race,
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -32.55 -7.61 -0.06 7.23 40.32
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 58.32861 1.91953 30.39 < 2e-16
## Gini100C -0.00528 0.05952 -0.09 0.9294
## PovStat 1.40259 0.84435 1.66 0.0968
## Race 1.06052 0.66647 1.59 0.1117
## I(Gini100C^2) -0.00862 0.00515 -1.67 0.0943
## Age0 0.08126 0.02867 2.83 0.0046
## Sex 4.11225 0.49822 8.25 2.9e-16
## HseHldEducationDich -0.44880 0.53878 -0.83 0.4050
## CVDclusterdich -0.39131 1.30274 -0.30 0.7639
## DMMclusterdich -0.51215 0.64135 -0.80 0.4246
## PhysBMI 0.24885 0.03384 7.35 2.9e-13
## rxPsych 0.33529 0.70709 0.47 0.6354
## rxHTN 2.54820 0.65218 3.91 9.7e-05
## rxDiabetes -2.78522 1.04601 -2.66 0.0078
## rxHypercholesterolemia -1.80597 0.88499 -2.04 0.0414
## SmokingCurr 0.78709 0.62768 1.25 0.2100
## AlcoholCurr 0.99764 0.50702 1.97 0.0493
## IllicitDrugCurr 0.75421 0.69177 1.09 0.2757
## MedianHouseholdIncome2C -0.16336 0.24373 -0.67 0.5028
## Gini100C:PovStat 0.11175 0.07677 1.46 0.1456
## PovStat:Race -0.59144 1.06958 -0.55 0.5804
##
## Residual standard error: 10.3 on 1870 degrees of freedom
## Multiple R-squared: 0.0852, Adjusted R-squared: 0.0754
## F-statistic: 8.7 on 20 and 1870 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 6 : PovStat:Race
## --------
##
## -------------STEP 7 -------------
##
## Call:
## lm(formula = PhysMeanDBPsitimp ~ Gini100C + PovStat + Race +
## I(Gini100C^2) + Age0 + Sex + HseHldEducationDich + CVDclusterdich +
## DMMclusterdich + PhysBMI + rxPsych + rxHTN + rxDiabetes +
## rxHypercholesterolemia + SmokingCurr + AlcoholCurr + IllicitDrugCurr +
## MedianHouseholdIncome2C + Gini100C:PovStat, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -32.67 -7.63 -0.11 7.18 40.15
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 58.39497 1.91542 30.49 < 2e-16
## Gini100C -0.00665 0.05946 -0.11 0.91090
## PovStat 1.03288 0.51556 2.00 0.04528
## Race 0.84720 0.54336 1.56 0.11912
## I(Gini100C^2) -0.00842 0.00514 -1.64 0.10143
## Age0 0.08174 0.02865 2.85 0.00438
## Sex 4.11069 0.49812 8.25 2.9e-16
## HseHldEducationDich -0.45582 0.53853 -0.85 0.39743
## CVDclusterdich -0.38971 1.30249 -0.30 0.76482
## DMMclusterdich -0.51439 0.64121 -0.80 0.42253
## PhysBMI 0.25009 0.03376 7.41 1.9e-13
## rxPsych 0.32468 0.70670 0.46 0.64598
## rxHTN 2.53181 0.65138 3.89 0.00011
## rxDiabetes -2.76782 1.04534 -2.65 0.00817
## rxHypercholesterolemia -1.82001 0.88446 -2.06 0.03975
## SmokingCurr 0.77687 0.62729 1.24 0.21570
## AlcoholCurr 0.98552 0.50645 1.95 0.05181
## IllicitDrugCurr 0.75543 0.69164 1.09 0.27487
## MedianHouseholdIncome2C -0.18213 0.24131 -0.75 0.45049
## Gini100C:PovStat 0.10132 0.07440 1.36 0.17342
##
## Residual standard error: 10.3 on 1871 degrees of freedom
## Multiple R-squared: 0.085, Adjusted R-squared: 0.0757
## F-statistic: 9.15 on 19 and 1871 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 7 : Gini100C:PovStat
## --------
##
## -------------STEP 8 -------------
##
## Call:
## lm(formula = PhysMeanDBPsitimp ~ Gini100C + PovStat + Race +
## I(Gini100C^2) + Age0 + Sex + HseHldEducationDich + CVDclusterdich +
## DMMclusterdich + PhysBMI + rxPsych + rxHTN + rxDiabetes +
## rxHypercholesterolemia + SmokingCurr + AlcoholCurr + IllicitDrugCurr +
## MedianHouseholdIncome2C, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -32.56 -7.69 -0.10 7.12 39.64
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 58.26427 1.91345 30.45 < 2e-16
## Gini100C 0.02955 0.05320 0.56 0.57861
## PovStat 1.03054 0.51567 2.00 0.04582
## Race 0.98357 0.53418 1.84 0.06574
## I(Gini100C^2) -0.00704 0.00504 -1.40 0.16240
## Age0 0.08313 0.02864 2.90 0.00375
## Sex 4.11796 0.49821 8.27 2.6e-16
## HseHldEducationDich -0.53106 0.53581 -0.99 0.32175
## CVDclusterdich -0.36779 1.30269 -0.28 0.77772
## DMMclusterdich -0.51330 0.64136 -0.80 0.42362
## PhysBMI 0.25019 0.03377 7.41 1.9e-13
## rxPsych 0.38559 0.70545 0.55 0.58473
## rxHTN 2.52356 0.65150 3.87 0.00011
## rxDiabetes -2.77605 1.04556 -2.66 0.00800
## rxHypercholesterolemia -1.80466 0.88459 -2.04 0.04148
## SmokingCurr 0.76790 0.62740 1.22 0.22113
## AlcoholCurr 0.98698 0.50657 1.95 0.05152
## IllicitDrugCurr 0.76803 0.69173 1.11 0.26701
## MedianHouseholdIncome2C -0.18457 0.24136 -0.76 0.44453
##
## Residual standard error: 10.3 on 1872 degrees of freedom
## Multiple R-squared: 0.0841, Adjusted R-squared: 0.0753
## F-statistic: 9.55 on 18 and 1872 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 8 : I(Gini100C^2)
## --------
##
## -------------STEP 9 -------------
##
## Call:
## lm(formula = PhysMeanDBPsitimp ~ Gini100C + PovStat + Race +
## Age0 + Sex + HseHldEducationDich + CVDclusterdich + DMMclusterdich +
## PhysBMI + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia +
## SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C,
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -32.35 -7.65 -0.28 7.18 39.45
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 57.9198 1.8980 30.52 < 2e-16
## Gini100C -0.0215 0.0387 -0.56 0.5776
## PovStat 0.9985 0.5153 1.94 0.0528
## Race 1.0765 0.5302 2.03 0.0424
## Age0 0.0825 0.0286 2.88 0.0040
## Sex 4.0808 0.4976 8.20 4.4e-16
## HseHldEducationDich -0.5677 0.5353 -1.06 0.2891
## CVDclusterdich -0.4537 1.3016 -0.35 0.7274
## DMMclusterdich -0.5617 0.6406 -0.88 0.3806
## PhysBMI 0.2535 0.0337 7.52 8.3e-14
## rxPsych 0.3369 0.7048 0.48 0.6327
## rxHTN 2.5440 0.6515 3.90 9.8e-05
## rxDiabetes -2.7044 1.0446 -2.59 0.0097
## rxHypercholesterolemia -1.8199 0.8848 -2.06 0.0398
## SmokingCurr 0.7709 0.6276 1.23 0.2194
## AlcoholCurr 0.9813 0.5067 1.94 0.0529
## IllicitDrugCurr 0.7068 0.6905 1.02 0.3061
## MedianHouseholdIncome2C -0.2444 0.2376 -1.03 0.3039
##
## Residual standard error: 10.3 on 1873 degrees of freedom
## Multiple R-squared: 0.0832, Adjusted R-squared: 0.0748
## F-statistic: 9.99 on 17 and 1873 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 9 : Gini100C
## --------
## Warning: All variables have been thrown out of the model.
## No model could be specified.
## ***************** END Backward Elimination: PhysMeanDBPsitimp *****************************
##
##
## ************************************************************
## ************************************************************
## BEGIN: LabResGlucoseimp
## ************************************************************
## ************************************************************
## -------------STEP 1 -------------
##
## Call:
## lm(formula = "LabResGlucoseimp ~ Gini100C*PovStat*Race + I(Gini100C^2)*PovStat*Race + Age0 + Sex + Race + HseHldEducationDich + PovStat + CVDclusterdich + DMMclusterdich + PhysBMI + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C",
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -131.9 -11.5 -3.6 4.5 388.9
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 65.6486 6.4854 10.12 < 2e-16
## Gini100C -0.3988 0.2986 -1.34 0.18183
## PovStat 3.4860 4.1727 0.84 0.40359
## Race -1.5048 3.0153 -0.50 0.61780
## I(Gini100C^2) 0.0124 0.0324 0.38 0.70133
## Age0 0.2055 0.0948 2.17 0.03026
## Sex 5.4109 1.6471 3.29 0.00104
## HseHldEducationDich -1.0863 1.7823 -0.61 0.54227
## CVDclusterdich -3.5907 4.3006 -0.83 0.40386
## DMMclusterdich 7.3192 2.1224 3.45 0.00058
## PhysBMI 0.6516 0.1118 5.83 0.0000000066
## rxPsych -7.5541 2.3365 -3.23 0.00125
## rxHTN 3.6679 2.1515 1.70 0.08840
## rxDiabetes 62.8530 3.4593 18.17 < 2e-16
## rxHypercholesterolemia -5.3787 2.9188 -1.84 0.06552
## SmokingCurr 1.3126 2.0709 0.63 0.52626
## AlcoholCurr 1.9893 1.6746 1.19 0.23503
## IllicitDrugCurr -2.5621 2.2840 -1.12 0.26209
## MedianHouseholdIncome2C -0.2039 0.8111 -0.25 0.80149
## Gini100C:PovStat -0.0524 0.5572 -0.09 0.92502
## Gini100C:Race 0.6197 0.4177 1.48 0.13803
## PovStat:Race -2.2359 4.8877 -0.46 0.64740
## PovStat:I(Gini100C^2) 0.0054 0.0597 0.09 0.92794
## Race:I(Gini100C^2) -0.0482 0.0476 -1.01 0.31165
## Gini100C:PovStat:Race -0.2099 0.7171 -0.29 0.76982
## PovStat:Race:I(Gini100C^2) 0.0190 0.0745 0.25 0.79893
##
## Residual standard error: 33.9 on 1865 degrees of freedom
## Multiple R-squared: 0.292, Adjusted R-squared: 0.283
## F-statistic: 30.8 on 25 and 1865 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 1 : PovStat:Race:I(Gini100C^2)
## --------
##
## -------------STEP 2 -------------
##
## Call:
## lm(formula = LabResGlucoseimp ~ Gini100C + PovStat + Race + I(Gini100C^2) +
## Age0 + Sex + HseHldEducationDich + CVDclusterdich + DMMclusterdich +
## PhysBMI + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia +
## SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C +
## Gini100C:PovStat + Gini100C:Race + PovStat:Race + PovStat:I(Gini100C^2) +
## Race:I(Gini100C^2) + Gini100C:PovStat:Race, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -131.7 -11.5 -3.6 4.6 388.9
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 65.74572 6.47254 10.16 < 2e-16
## Gini100C -0.37671 0.28565 -1.32 0.18740
## PovStat 2.88105 3.43049 0.84 0.40111
## Race -1.83586 2.72026 -0.67 0.49983
## I(Gini100C^2) 0.00893 0.02934 0.30 0.76085
## Age0 0.20686 0.09461 2.19 0.02890
## Sex 5.40712 1.64660 3.28 0.00104
## HseHldEducationDich -1.07737 1.78152 -0.60 0.54542
## CVDclusterdich -3.54955 4.29650 -0.83 0.40882
## DMMclusterdich 7.31763 2.12188 3.45 0.00058
## PhysBMI 0.65243 0.11173 5.84 0.0000000062
## rxPsych -7.56222 2.33566 -3.24 0.00123
## rxHTN 3.67326 2.15089 1.71 0.08784
## rxDiabetes 62.83012 3.45728 18.17 < 2e-16
## rxHypercholesterolemia -5.38397 2.91802 -1.85 0.06518
## SmokingCurr 1.30974 2.07030 0.63 0.52705
## AlcoholCurr 1.98508 1.67412 1.19 0.23587
## IllicitDrugCurr -2.56170 2.28339 -1.12 0.26205
## MedianHouseholdIncome2C -0.20347 0.81088 -0.25 0.80190
## Gini100C:PovStat -0.11544 0.49918 -0.23 0.81713
## Gini100C:Race 0.57815 0.38439 1.50 0.13273
## PovStat:Race -1.40730 3.64774 -0.39 0.69969
## PovStat:I(Gini100C^2) 0.01759 0.03568 0.49 0.62209
## Race:I(Gini100C^2) -0.04046 0.03674 -1.10 0.27088
## Gini100C:PovStat:Race -0.10235 0.57966 -0.18 0.85987
##
## Residual standard error: 33.9 on 1866 degrees of freedom
## Multiple R-squared: 0.292, Adjusted R-squared: 0.283
## F-statistic: 32.1 on 24 and 1866 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 2 : Gini100C:PovStat:Race
## --------
##
## -------------STEP 3 -------------
##
## Call:
## lm(formula = LabResGlucoseimp ~ Gini100C + PovStat + Race + I(Gini100C^2) +
## Age0 + Sex + HseHldEducationDich + CVDclusterdich + DMMclusterdich +
## PhysBMI + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia +
## SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C +
## Gini100C:PovStat + Gini100C:Race + PovStat:Race + PovStat:I(Gini100C^2) +
## Race:I(Gini100C^2), data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -131.6 -11.5 -3.7 4.5 388.9
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 65.74944 6.47082 10.16 < 2e-16
## Gini100C -0.36138 0.27206 -1.33 0.18424
## PovStat 2.76269 3.36348 0.82 0.41154
## Race -1.84222 2.71932 -0.68 0.49820
## I(Gini100C^2) 0.00868 0.02930 0.30 0.76699
## Age0 0.20693 0.09458 2.19 0.02881
## Sex 5.41271 1.64587 3.29 0.00103
## HseHldEducationDich -1.06977 1.78053 -0.60 0.54804
## CVDclusterdich -3.56475 4.29452 -0.83 0.40661
## DMMclusterdich 7.32164 2.12121 3.45 0.00057
## PhysBMI 0.65254 0.11170 5.84 0.0000000061
## rxPsych -7.56573 2.33497 -3.24 0.00122
## rxHTN 3.67489 2.15032 1.71 0.08762
## rxDiabetes 62.80721 3.45395 18.18 < 2e-16
## rxHypercholesterolemia -5.38096 2.91721 -1.84 0.06526
## SmokingCurr 1.31632 2.06943 0.64 0.52480
## AlcoholCurr 1.98442 1.67368 1.19 0.23591
## IllicitDrugCurr -2.57070 2.28223 -1.13 0.26014
## MedianHouseholdIncome2C -0.19596 0.80955 -0.24 0.80876
## Gini100C:PovStat -0.17823 0.35026 -0.51 0.61092
## Gini100C:Race 0.54617 0.33897 1.61 0.10729
## PovStat:Race -1.30435 3.59991 -0.36 0.71715
## PovStat:I(Gini100C^2) 0.01706 0.03554 0.48 0.63128
## Race:I(Gini100C^2) -0.04063 0.03672 -1.11 0.26858
##
## Residual standard error: 33.9 on 1867 degrees of freedom
## Multiple R-squared: 0.292, Adjusted R-squared: 0.284
## F-statistic: 33.5 on 23 and 1867 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 3 : PovStat:I(Gini100C^2)
## --------
##
## -------------STEP 4 -------------
##
## Call:
## lm(formula = LabResGlucoseimp ~ Gini100C + PovStat + Race + I(Gini100C^2) +
## Age0 + Sex + HseHldEducationDich + CVDclusterdich + DMMclusterdich +
## PhysBMI + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia +
## SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C +
## Gini100C:PovStat + Gini100C:Race + PovStat:Race + Race:I(Gini100C^2),
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -131.2 -11.6 -3.7 4.5 388.8
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 65.4528 6.4399 10.16 < 2e-16
## Gini100C -0.3972 0.2616 -1.52 0.12911
## PovStat 3.6457 2.8153 1.29 0.19549
## Race -1.9444 2.7104 -0.72 0.47323
## I(Gini100C^2) 0.0137 0.0273 0.50 0.61545
## Age0 0.2066 0.0946 2.18 0.02904
## Sex 5.4118 1.6455 3.29 0.00102
## HseHldEducationDich -1.0429 1.7793 -0.59 0.55787
## CVDclusterdich -3.5398 4.2933 -0.82 0.40976
## DMMclusterdich 7.3265 2.1207 3.45 0.00056
## PhysBMI 0.6532 0.1117 5.85 0.0000000058
## rxPsych -7.5130 2.3319 -3.22 0.00130
## rxHTN 3.6947 2.1495 1.72 0.08580
## rxDiabetes 62.7752 3.4526 18.18 < 2e-16
## rxHypercholesterolemia -5.3674 2.9165 -1.84 0.06587
## SmokingCurr 1.3121 2.0690 0.63 0.52606
## AlcoholCurr 1.9830 1.6733 1.19 0.23614
## IllicitDrugCurr -2.5841 2.2816 -1.13 0.25754
## MedianHouseholdIncome2C -0.2138 0.8085 -0.26 0.79144
## Gini100C:PovStat -0.0750 0.2764 -0.27 0.78621
## Gini100C:Race 0.5354 0.3382 1.58 0.11353
## PovStat:Race -1.6244 3.5369 -0.46 0.64610
## Race:I(Gini100C^2) -0.0349 0.0347 -1.01 0.31480
##
## Residual standard error: 33.9 on 1868 degrees of freedom
## Multiple R-squared: 0.292, Adjusted R-squared: 0.284
## F-statistic: 35 on 22 and 1868 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 4 : Race:I(Gini100C^2)
## --------
##
## -------------STEP 5 -------------
##
## Call:
## lm(formula = LabResGlucoseimp ~ Gini100C + PovStat + Race + I(Gini100C^2) +
## Age0 + Sex + HseHldEducationDich + CVDclusterdich + DMMclusterdich +
## PhysBMI + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia +
## SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C +
## Gini100C:PovStat + Gini100C:Race + PovStat:Race, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -132.1 -11.5 -3.7 4.5 389.2
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 66.66294 6.32648 10.54 < 2e-16
## Gini100C -0.25730 0.22153 -1.16 0.24561
## PovStat 3.54209 2.81337 1.26 0.20818
## Race -3.53116 2.20361 -1.60 0.10923
## I(Gini100C^2) -0.00778 0.01701 -0.46 0.64723
## Age0 0.20764 0.09456 2.20 0.02821
## Sex 5.32878 1.64346 3.24 0.00121
## HseHldEducationDich -0.95465 1.77713 -0.54 0.59120
## CVDclusterdich -3.59972 4.29292 -0.84 0.40184
## DMMclusterdich 7.15364 2.11377 3.38 0.00073
## PhysBMI 0.64990 0.11162 5.82 0.0000000068
## rxPsych -7.59631 2.33043 -3.26 0.00114
## rxHTN 3.69892 2.14948 1.72 0.08544
## rxDiabetes 62.95815 3.44780 18.26 < 2e-16
## rxHypercholesterolemia -5.37801 2.91646 -1.84 0.06534
## SmokingCurr 1.35315 2.06858 0.65 0.51310
## AlcoholCurr 1.94594 1.67293 1.16 0.24490
## IllicitDrugCurr -2.67061 2.27997 -1.17 0.24161
## MedianHouseholdIncome2C -0.18281 0.80794 -0.23 0.82102
## Gini100C:PovStat -0.12941 0.27100 -0.48 0.63305
## Gini100C:Race 0.32942 0.26905 1.22 0.22095
## PovStat:Race -1.44916 3.53262 -0.41 0.68169
##
## Residual standard error: 33.9 on 1869 degrees of freedom
## Multiple R-squared: 0.292, Adjusted R-squared: 0.284
## F-statistic: 36.7 on 21 and 1869 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 5 : PovStat:Race
## --------
##
## -------------STEP 6 -------------
##
## Call:
## lm(formula = LabResGlucoseimp ~ Gini100C + PovStat + Race + I(Gini100C^2) +
## Age0 + Sex + HseHldEducationDich + CVDclusterdich + DMMclusterdich +
## PhysBMI + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia +
## SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C +
## Gini100C:PovStat + Gini100C:Race, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -132.5 -11.5 -3.7 4.4 388.9
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 66.82803 6.31226 10.59 < 2e-16
## Gini100C -0.26351 0.22097 -1.19 0.23320
## PovStat 2.62881 1.71968 1.53 0.12652
## Race -4.04647 1.81010 -2.24 0.02550
## I(Gini100C^2) -0.00731 0.01697 -0.43 0.66644
## Age0 0.20873 0.09450 2.21 0.02731
## Sex 5.32292 1.64303 3.24 0.00122
## HseHldEducationDich -0.96963 1.77635 -0.55 0.58523
## CVDclusterdich -3.59631 4.29196 -0.84 0.40218
## DMMclusterdich 7.14925 2.11327 3.38 0.00073
## PhysBMI 0.65280 0.11137 5.86 0.0000000054
## rxPsych -7.62105 2.32913 -3.27 0.00109
## rxHTN 3.66005 2.14691 1.70 0.08840
## rxDiabetes 62.99839 3.44564 18.28 < 2e-16
## rxHypercholesterolemia -5.41139 2.91468 -1.86 0.06353
## SmokingCurr 1.32905 2.06729 0.64 0.52037
## AlcoholCurr 1.91872 1.67124 1.15 0.25108
## IllicitDrugCurr -2.66881 2.27946 -1.17 0.24182
## MedianHouseholdIncome2C -0.22616 0.80082 -0.28 0.77766
## Gini100C:PovStat -0.15754 0.26212 -0.60 0.54788
## Gini100C:Race 0.33687 0.26837 1.26 0.20955
##
## Residual standard error: 33.9 on 1870 degrees of freedom
## Multiple R-squared: 0.292, Adjusted R-squared: 0.284
## F-statistic: 38.5 on 20 and 1870 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 6 : I(Gini100C^2)
## --------
##
## -------------STEP 7 -------------
##
## Call:
## lm(formula = LabResGlucoseimp ~ Gini100C + PovStat + Race + Age0 +
## Sex + HseHldEducationDich + CVDclusterdich + DMMclusterdich +
## PhysBMI + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia +
## SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C +
## Gini100C:PovStat + Gini100C:Race, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -132.9 -11.5 -3.7 4.5 389.0
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 66.4563 6.2517 10.63 < 2e-16
## Gini100C -0.3041 0.1999 -1.52 0.12828
## PovStat 2.6037 1.7183 1.52 0.12987
## Race -3.9333 1.7906 -2.20 0.02817
## Age0 0.2085 0.0945 2.21 0.02743
## Sex 5.2895 1.6408 3.22 0.00129
## HseHldEducationDich -1.0237 1.7715 -0.58 0.56344
## CVDclusterdich -3.6768 4.2870 -0.86 0.39119
## DMMclusterdich 7.1002 2.1098 3.37 0.00078
## PhysBMI 0.6562 0.1111 5.91 0.0000000041
## rxPsych -7.6582 2.3270 -3.29 0.00102
## rxHTN 3.6775 2.1461 1.71 0.08677
## rxDiabetes 63.0703 3.4409 18.33 < 2e-16
## rxHypercholesterolemia -5.4244 2.9139 -1.86 0.06282
## SmokingCurr 1.3293 2.0668 0.64 0.52019
## AlcoholCurr 1.9110 1.6708 1.14 0.25287
## IllicitDrugCurr -2.7259 2.2751 -1.20 0.23101
## MedianHouseholdIncome2C -0.2887 0.7874 -0.37 0.71392
## Gini100C:PovStat -0.1758 0.2586 -0.68 0.49673
## Gini100C:Race 0.3296 0.2678 1.23 0.21856
##
## Residual standard error: 33.9 on 1871 degrees of freedom
## Multiple R-squared: 0.292, Adjusted R-squared: 0.284
## F-statistic: 40.5 on 19 and 1871 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 7 : Gini100C:PovStat
## --------
##
## -------------STEP 8 -------------
##
## Call:
## lm(formula = LabResGlucoseimp ~ Gini100C + PovStat + Race + Age0 +
## Sex + HseHldEducationDich + CVDclusterdich + DMMclusterdich +
## PhysBMI + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia +
## SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C +
## Gini100C:Race, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -132.4 -11.4 -3.6 4.5 389.1
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 66.5421 6.2495 10.65 < 2e-16
## Gini100C -0.3461 0.1900 -1.82 0.06873
## PovStat 2.6659 1.7156 1.55 0.12038
## Race -4.1815 1.7527 -2.39 0.01715
## Age0 0.2072 0.0944 2.19 0.02835
## Sex 5.2874 1.6406 3.22 0.00129
## HseHldEducationDich -0.9398 1.7670 -0.53 0.59486
## CVDclusterdich -3.7272 4.2857 -0.87 0.38458
## DMMclusterdich 7.0763 2.1092 3.36 0.00081
## PhysBMI 0.6582 0.1110 5.93 0.0000000036
## rxPsych -7.7736 2.3205 -3.35 0.00082
## rxHTN 3.6836 2.1457 1.72 0.08620
## rxDiabetes 63.1226 3.4395 18.35 < 2e-16
## rxHypercholesterolemia -5.4605 2.9130 -1.87 0.06101
## SmokingCurr 1.3353 2.0665 0.65 0.51827
## AlcoholCurr 1.8848 1.6701 1.13 0.25922
## IllicitDrugCurr -2.7498 2.2745 -1.21 0.22682
## MedianHouseholdIncome2C -0.3242 0.7856 -0.41 0.67987
## Gini100C:Race 0.2623 0.2488 1.05 0.29187
##
## Residual standard error: 33.9 on 1872 degrees of freedom
## Multiple R-squared: 0.291, Adjusted R-squared: 0.285
## F-statistic: 42.8 on 18 and 1872 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 8 : Gini100C:Race
## --------
##
## -------------STEP 9 -------------
##
## Call:
## lm(formula = LabResGlucoseimp ~ Gini100C + PovStat + Race + Age0 +
## Sex + HseHldEducationDich + CVDclusterdich + DMMclusterdich +
## PhysBMI + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia +
## SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C,
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -133.2 -11.4 -3.8 4.3 388.7
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 66.4489 6.2491 10.63 < 2e-16
## Gini100C -0.1973 0.1273 -1.55 0.12125
## PovStat 2.9349 1.6966 1.73 0.08381
## Race -4.3494 1.7455 -2.49 0.01280
## Age0 0.2123 0.0943 2.25 0.02450
## Sex 5.3777 1.6384 3.28 0.00105
## HseHldEducationDich -1.0736 1.7625 -0.61 0.54252
## CVDclusterdich -3.6618 4.2854 -0.85 0.39295
## DMMclusterdich 7.0543 2.1091 3.34 0.00084
## PhysBMI 0.6622 0.1109 5.97 0.0000000029
## rxPsych -7.7472 2.3204 -3.34 0.00086
## rxHTN 3.6245 2.1451 1.69 0.09125
## rxDiabetes 63.1760 3.4392 18.37 < 2e-16
## rxHypercholesterolemia -5.4776 2.9130 -1.88 0.06021
## SmokingCurr 1.2936 2.0662 0.63 0.53133
## AlcoholCurr 1.8004 1.6682 1.08 0.28062
## IllicitDrugCurr -2.6769 2.2735 -1.18 0.23918
## MedianHouseholdIncome2C -0.4000 0.7823 -0.51 0.60920
##
## Residual standard error: 33.9 on 1873 degrees of freedom
## Multiple R-squared: 0.291, Adjusted R-squared: 0.285
## F-statistic: 45.2 on 17 and 1873 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 9 : Gini100C
## --------
## Warning: All variables have been thrown out of the model.
## No model could be specified.
## ***************** END Backward Elimination: LabResGlucoseimp *****************************
##
##
## ************************************************************
## ************************************************************
## BEGIN: LabResGlucoseimpsqrt
## ************************************************************
## ************************************************************
## -------------STEP 1 -------------
##
## Call:
## lm(formula = "LabResGlucoseimpsqrt ~ Gini100C*PovStat*Race + I(Gini100C^2)*PovStat*Race + Age0 + Sex + Race + HseHldEducationDich + PovStat + CVDclusterdich + DMMclusterdich + PhysBMI + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C",
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -6.390 -0.524 -0.138 0.269 11.213
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 8.259293 0.248615 33.22 < 2e-16
## Gini100C -0.012727 0.011446 -1.11 0.26633
## PovStat 0.148188 0.159961 0.93 0.35436
## Race -0.073765 0.115592 -0.64 0.52345
## I(Gini100C^2) 0.000188 0.001242 0.15 0.87961
## Age0 0.011511 0.003633 3.17 0.00156
## Sex 0.246723 0.063140 3.91 0.0000965669674
## HseHldEducationDich -0.030951 0.068324 -0.45 0.65060
## CVDclusterdich -0.133621 0.164863 -0.81 0.41775
## DMMclusterdich 0.286592 0.081362 3.52 0.00044
## PhysBMI 0.030313 0.004286 7.07 0.0000000000021
## rxPsych -0.293324 0.089567 -3.27 0.00108
## rxHTN 0.148149 0.082478 1.80 0.07262
## rxDiabetes 2.426762 0.132612 18.30 < 2e-16
## rxHypercholesterolemia -0.190575 0.111892 -1.70 0.08870
## SmokingCurr 0.053951 0.079385 0.68 0.49684
## AlcoholCurr 0.076271 0.064196 1.19 0.23495
## IllicitDrugCurr -0.114182 0.087555 -1.30 0.19235
## MedianHouseholdIncome2C 0.001352 0.031093 0.04 0.96531
## Gini100C:PovStat -0.003403 0.021359 -0.16 0.87342
## Gini100C:Race 0.023039 0.016010 1.44 0.15032
## PovStat:Race -0.112956 0.187368 -0.60 0.54668
## PovStat:I(Gini100C^2) 0.000476 0.002288 0.21 0.83525
## Race:I(Gini100C^2) -0.001790 0.001825 -0.98 0.32666
## Gini100C:PovStat:Race -0.007427 0.027491 -0.27 0.78708
## PovStat:Race:I(Gini100C^2) 0.000781 0.002856 0.27 0.78461
##
## Residual standard error: 1.3 on 1865 degrees of freedom
## Multiple R-squared: 0.311, Adjusted R-squared: 0.302
## F-statistic: 33.7 on 25 and 1865 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 1 : PovStat:Race:I(Gini100C^2)
## --------
##
## -------------STEP 2 -------------
##
## Call:
## lm(formula = LabResGlucoseimpsqrt ~ Gini100C + PovStat + Race +
## I(Gini100C^2) + Age0 + Sex + HseHldEducationDich + CVDclusterdich +
## DMMclusterdich + PhysBMI + rxPsych + rxHTN + rxDiabetes +
## rxHypercholesterolemia + SmokingCurr + AlcoholCurr + IllicitDrugCurr +
## MedianHouseholdIncome2C + Gini100C:PovStat + Gini100C:Race +
## PovStat:Race + PovStat:I(Gini100C^2) + Race:I(Gini100C^2) +
## Gini100C:PovStat:Race, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -6.384 -0.525 -0.135 0.269 11.213
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 8.2632876 0.2481234 33.30 < 2e-16
## Gini100C -0.0118183 0.0109503 -1.08 0.28061
## PovStat 0.1233070 0.1315071 0.94 0.34855
## Race -0.0873824 0.1042806 -0.84 0.40216
## I(Gini100C^2) 0.0000444 0.0011247 0.04 0.96854
## Age0 0.0115661 0.0036268 3.19 0.00145
## Sex 0.2465692 0.0631220 3.91 0.000097085968
## HseHldEducationDich -0.0305837 0.0682941 -0.45 0.65433
## CVDclusterdich -0.1319285 0.1647054 -0.80 0.42324
## DMMclusterdich 0.2865293 0.0813418 3.52 0.00044
## PhysBMI 0.0303462 0.0042832 7.08 0.000000000002
## rxPsych -0.2936570 0.0895370 -3.28 0.00106
## rxHTN 0.1483688 0.0824541 1.80 0.07212
## rxDiabetes 2.4258209 0.1325341 18.30 < 2e-16
## rxHypercholesterolemia -0.1907916 0.1118615 -1.71 0.08825
## SmokingCurr 0.0538331 0.0793645 0.68 0.49766
## AlcoholCurr 0.0760985 0.0641769 1.19 0.23587
## IllicitDrugCurr -0.1141641 0.0875332 -1.30 0.19231
## MedianHouseholdIncome2C 0.0013723 0.0310849 0.04 0.96479
## Gini100C:PovStat -0.0059946 0.0191358 -0.31 0.75411
## Gini100C:Race 0.0213298 0.0147356 1.45 0.14792
## PovStat:Race -0.0788771 0.1398353 -0.56 0.57277
## PovStat:I(Gini100C^2) 0.0009772 0.0013676 0.71 0.47497
## Race:I(Gini100C^2) -0.0014732 0.0014084 -1.05 0.29569
## Gini100C:PovStat:Race -0.0030042 0.0222212 -0.14 0.89247
##
## Residual standard error: 1.3 on 1866 degrees of freedom
## Multiple R-squared: 0.311, Adjusted R-squared: 0.302
## F-statistic: 35.1 on 24 and 1866 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 2 : Gini100C:PovStat:Race
## --------
##
## -------------STEP 3 -------------
##
## Call:
## lm(formula = LabResGlucoseimpsqrt ~ Gini100C + PovStat + Race +
## I(Gini100C^2) + Age0 + Sex + HseHldEducationDich + CVDclusterdich +
## DMMclusterdich + PhysBMI + rxPsych + rxHTN + rxDiabetes +
## rxHypercholesterolemia + SmokingCurr + AlcoholCurr + IllicitDrugCurr +
## MedianHouseholdIncome2C + Gini100C:PovStat + Gini100C:Race +
## PovStat:Race + PovStat:I(Gini100C^2) + Race:I(Gini100C^2),
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -6.378 -0.526 -0.136 0.271 11.214
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 8.2633966 0.2480568 33.31 < 2e-16
## Gini100C -0.0113684 0.0104295 -1.09 0.27584
## PovStat 0.1198327 0.1289377 0.93 0.35281
## Race -0.0875690 0.1042441 -0.84 0.40099
## I(Gini100C^2) 0.0000371 0.0011231 0.03 0.97368
## Age0 0.0115682 0.0036258 3.19 0.00144
## Sex 0.2467332 0.0630937 3.91 0.0000953666967
## HseHldEducationDich -0.0303605 0.0682561 -0.44 0.65651
## CVDclusterdich -0.1323747 0.1646290 -0.80 0.42145
## DMMclusterdich 0.2866472 0.0813157 3.53 0.00043
## PhysBMI 0.0303494 0.0042820 7.09 0.0000000000019
## rxPsych -0.2937600 0.0895102 -3.28 0.00105
## rxHTN 0.1484168 0.0824316 1.80 0.07195
## rxDiabetes 2.4251485 0.1324060 18.32 < 2e-16
## rxHypercholesterolemia -0.1907033 0.1118302 -1.71 0.08831
## SmokingCurr 0.0540261 0.0793308 0.68 0.49594
## AlcoholCurr 0.0760790 0.0641599 1.19 0.23586
## IllicitDrugCurr -0.1144284 0.0874883 -1.31 0.19106
## MedianHouseholdIncome2C 0.0015926 0.0310340 0.05 0.95908
## Gini100C:PovStat -0.0078374 0.0134269 -0.58 0.55949
## Gini100C:Race 0.0203913 0.0129945 1.57 0.11676
## PovStat:Race -0.0758554 0.1380012 -0.55 0.58261
## PovStat:I(Gini100C^2) 0.0009618 0.0013625 0.71 0.48033
## Race:I(Gini100C^2) -0.0014782 0.0014076 -1.05 0.29377
##
## Residual standard error: 1.3 on 1867 degrees of freedom
## Multiple R-squared: 0.311, Adjusted R-squared: 0.303
## F-statistic: 36.7 on 23 and 1867 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 3 : PovStat:I(Gini100C^2)
## --------
##
## -------------STEP 4 -------------
##
## Call:
## lm(formula = LabResGlucoseimpsqrt ~ Gini100C + PovStat + Race +
## I(Gini100C^2) + Age0 + Sex + HseHldEducationDich + CVDclusterdich +
## DMMclusterdich + PhysBMI + rxPsych + rxHTN + rxDiabetes +
## rxHypercholesterolemia + SmokingCurr + AlcoholCurr + IllicitDrugCurr +
## MedianHouseholdIncome2C + Gini100C:PovStat + Gini100C:Race +
## PovStat:Race + Race:I(Gini100C^2), data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -6.357 -0.527 -0.139 0.263 11.207
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 8.246675 0.246890 33.40 < 2e-16
## Gini100C -0.013386 0.010029 -1.33 0.18211
## PovStat 0.169614 0.107929 1.57 0.11623
## Race -0.093329 0.103910 -0.90 0.36921
## I(Gini100C^2) 0.000322 0.001048 0.31 0.75881
## Age0 0.011549 0.003625 3.19 0.00147
## Sex 0.246684 0.063085 3.91 0.0000954628972
## HseHldEducationDich -0.028844 0.068213 -0.42 0.67245
## CVDclusterdich -0.130970 0.164595 -0.80 0.42630
## DMMclusterdich 0.286923 0.081304 3.53 0.00043
## PhysBMI 0.030387 0.004281 7.10 0.0000000000018
## rxPsych -0.290786 0.089399 -3.25 0.00116
## rxHTN 0.149535 0.082405 1.81 0.06974
## rxDiabetes 2.423343 0.132363 18.31 < 2e-16
## rxHypercholesterolemia -0.189940 0.111810 -1.70 0.08953
## SmokingCurr 0.053786 0.079319 0.68 0.49779
## AlcoholCurr 0.076000 0.064151 1.18 0.23629
## IllicitDrugCurr -0.115182 0.087470 -1.32 0.18806
## MedianHouseholdIncome2C 0.000585 0.030997 0.02 0.98496
## Gini100C:PovStat -0.002016 0.010595 -0.19 0.84910
## Gini100C:Race 0.019784 0.012964 1.53 0.12717
## PovStat:Race -0.093897 0.135596 -0.69 0.48872
## Race:I(Gini100C^2) -0.001156 0.001331 -0.87 0.38543
##
## Residual standard error: 1.3 on 1868 degrees of freedom
## Multiple R-squared: 0.311, Adjusted R-squared: 0.303
## F-statistic: 38.3 on 22 and 1868 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 4 : Race:I(Gini100C^2)
## --------
##
## -------------STEP 5 -------------
##
## Call:
## lm(formula = LabResGlucoseimpsqrt ~ Gini100C + PovStat + Race +
## I(Gini100C^2) + Age0 + Sex + HseHldEducationDich + CVDclusterdich +
## DMMclusterdich + PhysBMI + rxPsych + rxHTN + rxDiabetes +
## rxHypercholesterolemia + SmokingCurr + AlcoholCurr + IllicitDrugCurr +
## MedianHouseholdIncome2C + Gini100C:PovStat + Gini100C:Race +
## PovStat:Race, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -6.388 -0.525 -0.140 0.254 11.221
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 8.286730 0.242524 34.17 < 2e-16
## Gini100C -0.008756 0.008492 -1.03 0.30264
## PovStat 0.166184 0.107850 1.54 0.12351
## Race -0.145852 0.084475 -1.73 0.08441
## I(Gini100C^2) -0.000390 0.000652 -0.60 0.54936
## Age0 0.011584 0.003625 3.20 0.00142
## Sex 0.243935 0.063002 3.87 0.00011
## HseHldEducationDich -0.025924 0.068126 -0.38 0.70359
## CVDclusterdich -0.132952 0.164568 -0.81 0.41926
## DMMclusterdich 0.281200 0.081031 3.47 0.00053
## PhysBMI 0.030278 0.004279 7.08 0.0000000000021
## rxPsych -0.293544 0.089337 -3.29 0.00104
## rxHTN 0.149674 0.082400 1.82 0.06946
## rxDiabetes 2.429400 0.132171 18.38 < 2e-16
## rxHypercholesterolemia -0.190291 0.111802 -1.70 0.08892
## SmokingCurr 0.055146 0.079299 0.70 0.48687
## AlcoholCurr 0.074773 0.064131 1.17 0.24379
## IllicitDrugCurr -0.118046 0.087402 -1.35 0.17698
## MedianHouseholdIncome2C 0.001612 0.030972 0.05 0.95850
## Gini100C:PovStat -0.003818 0.010389 -0.37 0.71327
## Gini100C:Race 0.012966 0.010314 1.26 0.20886
## PovStat:Race -0.088097 0.135422 -0.65 0.51542
##
## Residual standard error: 1.3 on 1869 degrees of freedom
## Multiple R-squared: 0.311, Adjusted R-squared: 0.303
## F-statistic: 40.1 on 21 and 1869 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 5 : Gini100C:PovStat
## --------
##
## -------------STEP 6 -------------
##
## Call:
## lm(formula = LabResGlucoseimpsqrt ~ Gini100C + PovStat + Race +
## I(Gini100C^2) + Age0 + Sex + HseHldEducationDich + CVDclusterdich +
## DMMclusterdich + PhysBMI + rxPsych + rxHTN + rxDiabetes +
## rxHypercholesterolemia + SmokingCurr + AlcoholCurr + IllicitDrugCurr +
## MedianHouseholdIncome2C + Gini100C:Race + PovStat:Race, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -6.373 -0.526 -0.142 0.255 11.226
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 8.288894 0.242397 34.20 < 2e-16
## Gini100C -0.009326 0.008348 -1.12 0.26403
## PovStat 0.175483 0.104816 1.67 0.09426
## Race -0.146863 0.084411 -1.74 0.08205
## I(Gini100C^2) -0.000432 0.000642 -0.67 0.50122
## Age0 0.011550 0.003623 3.19 0.00146
## Sex 0.244116 0.062985 3.88 0.00011
## HseHldEducationDich -0.023859 0.067878 -0.35 0.72526
## CVDclusterdich -0.133570 0.164522 -0.81 0.41697
## DMMclusterdich 0.281014 0.081011 3.47 0.00053
## PhysBMI 0.030274 0.004278 7.08 0.0000000000021
## rxPsych -0.295425 0.089169 -3.31 0.00094
## rxHTN 0.150044 0.082375 1.82 0.06869
## rxDiabetes 2.429718 0.132137 18.39 < 2e-16
## rxHypercholesterolemia -0.190650 0.111772 -1.71 0.08823
## SmokingCurr 0.055472 0.079275 0.70 0.48418
## AlcoholCurr 0.074532 0.064113 1.16 0.24518
## IllicitDrugCurr -0.118244 0.087380 -1.35 0.17615
## MedianHouseholdIncome2C 0.001605 0.030965 0.05 0.95866
## Gini100C:Race 0.011606 0.009626 1.21 0.22804
## PovStat:Race -0.100695 0.130982 -0.77 0.44213
##
## Residual standard error: 1.3 on 1870 degrees of freedom
## Multiple R-squared: 0.311, Adjusted R-squared: 0.303
## F-statistic: 42.2 on 20 and 1870 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 6 : I(Gini100C^2)
## --------
##
## -------------STEP 7 -------------
##
## Call:
## lm(formula = LabResGlucoseimpsqrt ~ Gini100C + PovStat + Race +
## Age0 + Sex + HseHldEducationDich + CVDclusterdich + DMMclusterdich +
## PhysBMI + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia +
## SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C +
## Gini100C:Race + PovStat:Race, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -6.394 -0.529 -0.135 0.257 11.232
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 8.26777 0.24032 34.40 < 2e-16
## Gini100C -0.01200 0.00734 -1.63 0.10249
## PovStat 0.17302 0.10474 1.65 0.09871
## Race -0.14255 0.08415 -1.69 0.09045
## Age0 0.01153 0.00362 3.18 0.00148
## Sex 0.24212 0.06291 3.85 0.00012
## HseHldEducationDich -0.02653 0.06775 -0.39 0.69538
## CVDclusterdich -0.13863 0.16433 -0.84 0.39899
## DMMclusterdich 0.27797 0.08087 3.44 0.00060
## PhysBMI 0.03049 0.00426 7.15 0.0000000000012
## rxPsych -0.29839 0.08905 -3.35 0.00082
## rxHTN 0.15105 0.08235 1.83 0.06677
## rxDiabetes 2.43435 0.13194 18.45 < 2e-16
## rxHypercholesterolemia -0.19170 0.11174 -1.72 0.08642
## SmokingCurr 0.05549 0.07926 0.70 0.48397
## AlcoholCurr 0.07387 0.06410 1.15 0.24929
## IllicitDrugCurr -0.12176 0.08721 -1.40 0.16284
## MedianHouseholdIncome2C -0.00237 0.03039 -0.08 0.93778
## Gini100C:Race 0.01076 0.00954 1.13 0.25961
## PovStat:Race -0.09851 0.13092 -0.75 0.45189
##
## Residual standard error: 1.3 on 1871 degrees of freedom
## Multiple R-squared: 0.311, Adjusted R-squared: 0.304
## F-statistic: 44.4 on 19 and 1871 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 7 : PovStat:Race
## --------
##
## -------------STEP 8 -------------
##
## Call:
## lm(formula = LabResGlucoseimpsqrt ~ Gini100C + PovStat + Race +
## Age0 + Sex + HseHldEducationDich + CVDclusterdich + DMMclusterdich +
## PhysBMI + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia +
## SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C +
## Gini100C:Race, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -6.414 -0.528 -0.141 0.259 11.209
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 8.28152 0.23960 34.56 < 2e-16
## Gini100C -0.01268 0.00729 -1.74 0.08198
## PovStat 0.11170 0.06577 1.70 0.08964
## Race -0.18066 0.06720 -2.69 0.00724
## Age0 0.01159 0.00362 3.20 0.00139
## Sex 0.24185 0.06290 3.85 0.00012
## HseHldEducationDich -0.02644 0.06774 -0.39 0.69635
## CVDclusterdich -0.13857 0.16431 -0.84 0.39913
## DMMclusterdich 0.27763 0.08086 3.43 0.00061
## PhysBMI 0.03070 0.00426 7.21 7.9e-13
## rxPsych -0.30111 0.08896 -3.38 0.00073
## rxHTN 0.14840 0.08226 1.80 0.07141
## rxDiabetes 2.43732 0.13186 18.48 < 2e-16
## rxHypercholesterolemia -0.19428 0.11168 -1.74 0.08208
## SmokingCurr 0.05391 0.07923 0.68 0.49629
## AlcoholCurr 0.07178 0.06403 1.12 0.26242
## IllicitDrugCurr -0.12164 0.08720 -1.39 0.16321
## MedianHouseholdIncome2C -0.00542 0.03012 -0.18 0.85728
## Gini100C:Race 0.01060 0.00954 1.11 0.26672
##
## Residual standard error: 1.3 on 1872 degrees of freedom
## Multiple R-squared: 0.31, Adjusted R-squared: 0.304
## F-statistic: 46.8 on 18 and 1872 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 8 : Gini100C:Race
## --------
##
## -------------STEP 9 -------------
##
## Call:
## lm(formula = LabResGlucoseimpsqrt ~ Gini100C + PovStat + Race +
## Age0 + Sex + HseHldEducationDich + CVDclusterdich + DMMclusterdich +
## PhysBMI + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia +
## SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C,
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -6.444 -0.527 -0.147 0.254 11.192
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 8.27775 0.23959 34.55 < 2e-16
## Gini100C -0.00667 0.00488 -1.37 0.17197
## PovStat 0.12257 0.06505 1.88 0.05968
## Race -0.18744 0.06692 -2.80 0.00515
## Age0 0.01180 0.00362 3.26 0.00112
## Sex 0.24549 0.06282 3.91 9.6e-05
## HseHldEducationDich -0.03184 0.06757 -0.47 0.63753
## CVDclusterdich -0.13593 0.16430 -0.83 0.40816
## DMMclusterdich 0.27674 0.08086 3.42 0.00063
## PhysBMI 0.03086 0.00425 7.25 5.9e-13
## rxPsych -0.30004 0.08896 -3.37 0.00076
## rxHTN 0.14601 0.08224 1.78 0.07599
## rxDiabetes 2.43947 0.13186 18.50 < 2e-16
## rxHypercholesterolemia -0.19497 0.11168 -1.75 0.08102
## SmokingCurr 0.05223 0.07922 0.66 0.50977
## AlcoholCurr 0.06837 0.06396 1.07 0.28524
## IllicitDrugCurr -0.11869 0.08717 -1.36 0.17347
## MedianHouseholdIncome2C -0.00848 0.02999 -0.28 0.77746
##
## Residual standard error: 1.3 on 1873 degrees of freedom
## Multiple R-squared: 0.31, Adjusted R-squared: 0.304
## F-statistic: 49.5 on 17 and 1873 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 9 : Gini100C
## --------
## Warning: All variables have been thrown out of the model.
## No model could be specified.
## ***************** END Backward Elimination: LabResGlucoseimpsqrt *****************************
##
##
## ************************************************************
## ************************************************************
## BEGIN: PhysBMI
## ************************************************************
## ************************************************************
## Warning: PhysBMI cannot be found in the model
## These terms are ignored in the model selection.
## -------------STEP 1 -------------
##
## Call:
## lm(formula = "PhysBMI ~ Gini100C*PovStat*Race + I(Gini100C^2)*PovStat*Race + Age0 + Sex + Race + HseHldEducationDich + PovStat + CVDclusterdich + DMMclusterdich + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C",
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -16.57 -4.79 -0.93 3.93 32.46
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 34.960654 1.071545 32.63 < 2e-16
## Gini100C -0.024674 0.061820 -0.40 0.6898
## PovStat 1.128643 0.863601 1.31 0.1914
## Race 0.640196 0.624168 1.03 0.3052
## I(Gini100C^2) -0.014805 0.006699 -2.21 0.0272
## Age0 -0.088316 0.019518 -4.52 0.0000064253015
## Sex -2.877303 0.334470 -8.60 < 2e-16
## HseHldEducationDich -0.144684 0.369024 -0.39 0.6950
## CVDclusterdich -0.735736 0.890307 -0.83 0.4087
## DMMclusterdich 0.453296 0.439336 1.03 0.3023
## rxPsych -0.291517 0.483732 -0.60 0.5468
## rxHTN 3.250265 0.439089 7.40 0.0000000000002
## rxDiabetes 3.066159 0.712748 4.30 0.0000178111052
## rxHypercholesterolemia 1.368932 0.603530 2.27 0.0234
## SmokingCurr 1.828557 0.426688 4.29 0.0000191651390
## AlcoholCurr -0.896079 0.346119 -2.59 0.0097
## IllicitDrugCurr -1.968918 0.470707 -4.18 0.0000301173471
## MedianHouseholdIncome2C 0.083758 0.167929 0.50 0.6180
## Gini100C:PovStat 0.047255 0.115363 0.41 0.6821
## Gini100C:Race 0.096923 0.086447 1.12 0.2624
## PovStat:Race -2.729397 1.010051 -2.70 0.0069
## PovStat:I(Gini100C^2) -0.007897 0.012357 -0.64 0.5228
## Race:I(Gini100C^2) 0.000262 0.009856 0.03 0.9788
## Gini100C:PovStat:Race -0.134499 0.148455 -0.91 0.3651
## PovStat:Race:I(Gini100C^2) 0.018736 0.015419 1.22 0.2245
##
## Residual standard error: 7.02 on 1866 degrees of freedom
## Multiple R-squared: 0.179, Adjusted R-squared: 0.169
## F-statistic: 17 on 24 and 1866 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 1 : PovStat:Race:I(Gini100C^2)
## --------
##
## -------------STEP 2 -------------
##
## Call:
## lm(formula = PhysBMI ~ Gini100C + PovStat + Race + I(Gini100C^2) +
## Age0 + Sex + HseHldEducationDich + CVDclusterdich + DMMclusterdich +
## rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr +
## AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C +
## Gini100C:PovStat + Gini100C:Race + PovStat:Race + PovStat:I(Gini100C^2) +
## Race:I(Gini100C^2) + Gini100C:PovStat:Race, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -16.87 -4.82 -0.93 3.97 32.32
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 35.08427 1.06684 32.89 < 2e-16
## Gini100C -0.00288 0.05917 -0.05 0.9613
## PovStat 0.53188 0.71047 0.75 0.4542
## Race 0.31361 0.56341 0.56 0.5779
## I(Gini100C^2) -0.01827 0.00606 -3.01 0.0026
## Age0 -0.08705 0.01949 -4.47 8.4e-06
## Sex -2.88327 0.33448 -8.62 < 2e-16
## HseHldEducationDich -0.13596 0.36900 -0.37 0.7126
## CVDclusterdich -0.69565 0.88981 -0.78 0.4344
## DMMclusterdich 0.45214 0.43939 1.03 0.3036
## rxPsych -0.29976 0.48375 -0.62 0.5356
## rxHTN 3.25811 0.43910 7.42 1.8e-13
## rxDiabetes 3.04597 0.71265 4.27 2.0e-05
## rxHypercholesterolemia 1.36481 0.60360 2.26 0.0239
## SmokingCurr 1.82717 0.42674 4.28 1.9e-05
## AlcoholCurr -0.90092 0.34614 -2.60 0.0093
## IllicitDrugCurr -1.97004 0.47077 -4.18 3.0e-05
## MedianHouseholdIncome2C 0.08430 0.16795 0.50 0.6158
## Gini100C:PovStat -0.01495 0.10340 -0.14 0.8851
## Gini100C:Race 0.05595 0.07961 0.70 0.4823
## PovStat:Race -1.91296 0.75428 -2.54 0.0113
## PovStat:I(Gini100C^2) 0.00414 0.00739 0.56 0.5755
## Race:I(Gini100C^2) 0.00788 0.00761 1.04 0.3007
## Gini100C:PovStat:Race -0.02838 0.12007 -0.24 0.8132
##
## Residual standard error: 7.02 on 1867 degrees of freedom
## Multiple R-squared: 0.179, Adjusted R-squared: 0.169
## F-statistic: 17.7 on 23 and 1867 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 2 : Gini100C:PovStat:Race
## --------
##
## -------------STEP 3 -------------
##
## Call:
## lm(formula = PhysBMI ~ Gini100C + PovStat + Race + I(Gini100C^2) +
## Age0 + Sex + HseHldEducationDich + CVDclusterdich + DMMclusterdich +
## rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr +
## AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C +
## Gini100C:PovStat + Gini100C:Race + PovStat:Race + PovStat:I(Gini100C^2) +
## Race:I(Gini100C^2), data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -16.93 -4.81 -0.92 3.96 32.30
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 35.08635 1.06654 32.90 < 2e-16
## Gini100C 0.00138 0.05635 0.02 0.9805
## PovStat 0.49908 0.69660 0.72 0.4738
## Race 0.31186 0.56322 0.55 0.5799
## I(Gini100C^2) -0.01834 0.00605 -3.03 0.0025
## Age0 -0.08704 0.01949 -4.47 8.4e-06
## Sex -2.88181 0.33433 -8.62 < 2e-16
## HseHldEducationDich -0.13386 0.36880 -0.36 0.7167
## CVDclusterdich -0.69989 0.88940 -0.79 0.4314
## DMMclusterdich 0.45327 0.43925 1.03 0.3022
## rxPsych -0.30074 0.48361 -0.62 0.5341
## rxHTN 3.25866 0.43898 7.42 1.7e-13
## rxDiabetes 3.03971 0.71197 4.27 2.1e-05
## rxHypercholesterolemia 1.36568 0.60343 2.26 0.0237
## SmokingCurr 1.82905 0.42656 4.29 1.9e-05
## AlcoholCurr -0.90113 0.34605 -2.60 0.0093
## IllicitDrugCurr -1.97259 0.47052 -4.19 2.9e-05
## MedianHouseholdIncome2C 0.08639 0.16768 0.52 0.6065
## Gini100C:PovStat -0.03236 0.07255 -0.45 0.6556
## Gini100C:Race 0.04709 0.07021 0.67 0.5025
## PovStat:Race -1.88447 0.74440 -2.53 0.0114
## PovStat:I(Gini100C^2) 0.00399 0.00736 0.54 0.5876
## Race:I(Gini100C^2) 0.00783 0.00760 1.03 0.3033
##
## Residual standard error: 7.02 on 1868 degrees of freedom
## Multiple R-squared: 0.179, Adjusted R-squared: 0.169
## F-statistic: 18.5 on 22 and 1868 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 3 : PovStat:I(Gini100C^2)
## --------
##
## -------------STEP 4 -------------
##
## Call:
## lm(formula = PhysBMI ~ Gini100C + PovStat + Race + I(Gini100C^2) +
## Age0 + Sex + HseHldEducationDich + CVDclusterdich + DMMclusterdich +
## rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr +
## AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C +
## Gini100C:PovStat + Gini100C:Race + PovStat:Race + Race:I(Gini100C^2),
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -16.77 -4.83 -0.91 3.96 32.24
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 35.02244 1.05981 33.05 < 2e-16
## Gini100C -0.00700 0.05419 -0.13 0.8972
## PovStat 0.70586 0.58292 1.21 0.2261
## Race 0.28799 0.56140 0.51 0.6080
## I(Gini100C^2) -0.01716 0.00565 -3.04 0.0024
## Age0 -0.08713 0.01948 -4.47 8.2e-06
## Sex -2.88247 0.33427 -8.62 < 2e-16
## HseHldEducationDich -0.12759 0.36855 -0.35 0.7292
## CVDclusterdich -0.69417 0.88917 -0.78 0.4351
## DMMclusterdich 0.45449 0.43917 1.03 0.3009
## rxPsych -0.28844 0.48298 -0.60 0.5504
## rxHTN 3.26382 0.43879 7.44 1.5e-13
## rxDiabetes 3.03270 0.71172 4.26 2.1e-05
## rxHypercholesterolemia 1.36907 0.60329 2.27 0.0234
## SmokingCurr 1.82834 0.42648 4.29 1.9e-05
## AlcoholCurr -0.90160 0.34599 -2.61 0.0092
## IllicitDrugCurr -1.97603 0.47039 -4.20 2.8e-05
## MedianHouseholdIncome2C 0.08222 0.16747 0.49 0.6235
## Gini100C:PovStat -0.00819 0.05724 -0.14 0.8862
## Gini100C:Race 0.04457 0.07004 0.64 0.5246
## PovStat:Race -1.95968 0.73123 -2.68 0.0074
## Race:I(Gini100C^2) 0.00917 0.00719 1.28 0.2023
##
## Residual standard error: 7.02 on 1869 degrees of freedom
## Multiple R-squared: 0.179, Adjusted R-squared: 0.169
## F-statistic: 19.3 on 21 and 1869 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 4 : Race:I(Gini100C^2)
## --------
##
## -------------STEP 5 -------------
##
## Call:
## lm(formula = PhysBMI ~ Gini100C + PovStat + Race + I(Gini100C^2) +
## Age0 + Sex + HseHldEducationDich + CVDclusterdich + DMMclusterdich +
## rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr +
## AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C +
## Gini100C:PovStat + Gini100C:Race + PovStat:Race, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -17.00 -4.76 -0.90 3.93 32.10
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 34.73479 1.03571 33.54 < 2e-16
## Gini100C -0.04378 0.04589 -0.95 0.3401
## PovStat 0.73372 0.58261 1.26 0.2081
## Race 0.70541 0.45624 1.55 0.1222
## I(Gini100C^2) -0.01152 0.00351 -3.28 0.0011
## Age0 -0.08748 0.01948 -4.49 7.6e-06
## Sex -2.86314 0.33398 -8.57 < 2e-16
## HseHldEducationDich -0.15089 0.36816 -0.41 0.6820
## CVDclusterdich -0.67903 0.88924 -0.76 0.4452
## DMMclusterdich 0.50033 0.43777 1.14 0.2532
## rxPsych -0.26678 0.48277 -0.55 0.5806
## rxHTN 3.26556 0.43887 7.44 1.5e-13
## rxDiabetes 2.98723 0.71095 4.20 2.8e-05
## rxHypercholesterolemia 1.37304 0.60338 2.28 0.0230
## SmokingCurr 1.81913 0.42649 4.27 2.1e-05
## AlcoholCurr -0.89264 0.34597 -2.58 0.0100
## IllicitDrugCurr -1.95500 0.47018 -4.16 3.4e-05
## MedianHouseholdIncome2C 0.07413 0.16738 0.44 0.6579
## Gini100C:PovStat 0.00611 0.05614 0.11 0.9133
## Gini100C:Race 0.09876 0.05569 1.77 0.0763
## PovStat:Race -2.00745 0.73039 -2.75 0.0060
##
## Residual standard error: 7.02 on 1870 degrees of freedom
## Multiple R-squared: 0.178, Adjusted R-squared: 0.169
## F-statistic: 20.2 on 20 and 1870 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 5 : Gini100C:PovStat
## --------
##
## -------------STEP 6 -------------
##
## Call:
## lm(formula = PhysBMI ~ Gini100C + PovStat + Race + I(Gini100C^2) +
## Age0 + Sex + HseHldEducationDich + CVDclusterdich + DMMclusterdich +
## rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr +
## AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C +
## Gini100C:Race + PovStat:Race, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -17.02 -4.79 -0.89 3.93 32.10
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 34.73154 1.03501 33.56 < 2e-16
## Gini100C -0.04287 0.04510 -0.95 0.34196
## PovStat 0.71883 0.56620 1.27 0.20439
## Race 0.70703 0.45588 1.55 0.12109
## I(Gini100C^2) -0.01145 0.00346 -3.31 0.00095
## Age0 -0.08743 0.01947 -4.49 7.6e-06
## Sex -2.86345 0.33388 -8.58 < 2e-16
## HseHldEducationDich -0.15420 0.36681 -0.42 0.67425
## CVDclusterdich -0.67805 0.88896 -0.76 0.44572
## DMMclusterdich 0.50064 0.43764 1.14 0.25279
## rxPsych -0.26377 0.48185 -0.55 0.58416
## rxHTN 3.26499 0.43872 7.44 1.5e-13
## rxDiabetes 2.98674 0.71075 4.20 2.8e-05
## rxHypercholesterolemia 1.37363 0.60320 2.28 0.02288
## SmokingCurr 1.81862 0.42635 4.27 2.1e-05
## AlcoholCurr -0.89226 0.34586 -2.58 0.00996
## IllicitDrugCurr -1.95469 0.47005 -4.16 3.3e-05
## MedianHouseholdIncome2C 0.07414 0.16733 0.44 0.65777
## Gini100C:Race 0.10094 0.05197 1.94 0.05223
## PovStat:Race -1.98729 0.70635 -2.81 0.00495
##
## Residual standard error: 7.02 on 1871 degrees of freedom
## Multiple R-squared: 0.178, Adjusted R-squared: 0.169
## F-statistic: 21.3 on 19 and 1871 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 6 : Gini100C:Race
## --------
##
## -------------STEP 7 -------------
##
## Call:
## lm(formula = PhysBMI ~ Gini100C + PovStat + Race + I(Gini100C^2) +
## Age0 + Sex + HseHldEducationDich + CVDclusterdich + DMMclusterdich +
## rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr +
## AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C +
## PovStat:Race, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -16.76 -4.86 -0.94 4.04 32.26
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 34.72741 1.03577 33.53 < 2e-16
## Gini100C 0.00774 0.03684 0.21 0.8337
## PovStat 0.79788 0.56515 1.41 0.1582
## Race 0.64166 0.45497 1.41 0.1586
## I(Gini100C^2) -0.01059 0.00343 -3.08 0.0021
## Age0 -0.08569 0.01947 -4.40 0.0000113379327
## Sex -2.83919 0.33390 -8.50 < 2e-16
## HseHldEducationDich -0.21060 0.36593 -0.58 0.5650
## CVDclusterdich -0.66495 0.88960 -0.75 0.4549
## DMMclusterdich 0.48699 0.43791 1.11 0.2662
## rxPsych -0.26122 0.48220 -0.54 0.5881
## rxHTN 3.25042 0.43898 7.40 0.0000000000002
## rxDiabetes 3.02340 0.71102 4.25 0.0000222110236
## rxHypercholesterolemia 1.36699 0.60363 2.26 0.0237
## SmokingCurr 1.80606 0.42662 4.23 0.0000241277170
## AlcoholCurr -0.92805 0.34563 -2.69 0.0073
## IllicitDrugCurr -1.93814 0.47032 -4.12 0.0000393868376
## MedianHouseholdIncome2C 0.03650 0.16633 0.22 0.8263
## PovStat:Race -1.95585 0.70669 -2.77 0.0057
##
## Residual standard error: 7.03 on 1872 degrees of freedom
## Multiple R-squared: 0.176, Adjusted R-squared: 0.168
## F-statistic: 22.2 on 18 and 1872 DF, p-value: <2e-16
##
## ***************** END Backward Elimination: PhysBMI *****************************
##
##
## ************************************************************
## ************************************************************
## BEGIN: LabResLDLcalcimp
## ************************************************************
## ************************************************************
## -------------STEP 1 -------------
##
## Call:
## lm(formula = "LabResLDLcalcimp ~ Gini100C*PovStat*Race + I(Gini100C^2)*PovStat*Race + Age0 + Sex + Race + HseHldEducationDich + PovStat + CVDclusterdich + DMMclusterdich + PhysBMI + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C",
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -94.08 -23.31 -1.77 18.89 152.93
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 73.2967 6.4857 11.30 < 2e-16
## Gini100C -0.0430 0.2986 -0.14 0.8856
## PovStat 1.4967 4.1730 0.36 0.7199
## Race -2.3804 3.0155 -0.79 0.4300
## I(Gini100C^2) 0.0274 0.0324 0.85 0.3981
## Age0 0.5545 0.0948 5.85 0.0000000058
## Sex -2.9323 1.6472 -1.78 0.0752
## HseHldEducationDich 1.7727 1.7824 0.99 0.3201
## CVDclusterdich -11.8132 4.3008 -2.75 0.0061
## DMMclusterdich -3.9975 2.1225 -1.88 0.0598
## PhysBMI 0.5365 0.1118 4.80 0.0000017306
## rxPsych -0.1901 2.3366 -0.08 0.9352
## rxHTN 2.3849 2.1516 1.11 0.2678
## rxDiabetes -6.9465 3.4595 -2.01 0.0448
## rxHypercholesterolemia -8.9147 2.9190 -3.05 0.0023
## SmokingCurr 0.2829 2.0710 0.14 0.8913
## AlcoholCurr -3.3760 1.6747 -2.02 0.0440
## IllicitDrugCurr -1.2303 2.2841 -0.54 0.5902
## MedianHouseholdIncome2C 1.5576 0.8111 1.92 0.0550
## Gini100C:PovStat 0.3302 0.5572 0.59 0.5535
## Gini100C:Race 0.0139 0.4177 0.03 0.9735
## PovStat:Race -2.3416 4.8879 -0.48 0.6320
## PovStat:I(Gini100C^2) -0.0685 0.0597 -1.15 0.2512
## Race:I(Gini100C^2) -0.0191 0.0476 -0.40 0.6878
## Gini100C:PovStat:Race -0.1772 0.7172 -0.25 0.8049
## PovStat:Race:I(Gini100C^2) 0.0320 0.0745 0.43 0.6671
##
## Residual standard error: 33.9 on 1865 degrees of freedom
## Multiple R-squared: 0.068, Adjusted R-squared: 0.0556
## F-statistic: 5.45 on 25 and 1865 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 1 : PovStat:Race:I(Gini100C^2)
## --------
##
## -------------STEP 2 -------------
##
## Call:
## lm(formula = LabResLDLcalcimp ~ Gini100C + PovStat + Race + I(Gini100C^2) +
## Age0 + Sex + HseHldEducationDich + CVDclusterdich + DMMclusterdich +
## PhysBMI + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia +
## SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C +
## Gini100C:PovStat + Gini100C:Race + PovStat:Race + PovStat:I(Gini100C^2) +
## Race:I(Gini100C^2) + Gini100C:PovStat:Race, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -93.88 -23.16 -1.63 18.92 152.68
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 73.46074 6.47308 11.35 < 2e-16
## Gini100C -0.00569 0.28567 -0.02 0.9841
## PovStat 0.47518 3.43078 0.14 0.8899
## Race -2.93949 2.72049 -1.08 0.2801
## I(Gini100C^2) 0.02148 0.02934 0.73 0.4642
## Age0 0.55680 0.09462 5.88 0.0000000047
## Sex -2.93857 1.64674 -1.78 0.0745
## HseHldEducationDich 1.78783 1.78167 1.00 0.3158
## CVDclusterdich -11.74370 4.29686 -2.73 0.0063
## DMMclusterdich -4.00012 2.12206 -1.89 0.0596
## PhysBMI 0.53781 0.11174 4.81 0.0000016066
## rxPsych -0.20379 2.33585 -0.09 0.9305
## rxHTN 2.39390 2.15107 1.11 0.2659
## rxDiabetes -6.98517 3.45757 -2.02 0.0435
## rxHypercholesterolemia -8.92363 2.91826 -3.06 0.0023
## SmokingCurr 0.27810 2.07047 0.13 0.8932
## AlcoholCurr -3.38310 1.67426 -2.02 0.0435
## IllicitDrugCurr -1.22958 2.28358 -0.54 0.5903
## MedianHouseholdIncome2C 1.55847 0.81095 1.92 0.0548
## Gini100C:PovStat 0.22386 0.49922 0.45 0.6539
## Gini100C:Race -0.05628 0.38442 -0.15 0.8836
## PovStat:Race -0.94244 3.64804 -0.26 0.7962
## PovStat:I(Gini100C^2) -0.04793 0.03568 -1.34 0.1793
## Race:I(Gini100C^2) -0.00612 0.03674 -0.17 0.8678
## Gini100C:PovStat:Race 0.00437 0.57971 0.01 0.9940
##
## Residual standard error: 33.9 on 1866 degrees of freedom
## Multiple R-squared: 0.068, Adjusted R-squared: 0.056
## F-statistic: 5.67 on 24 and 1866 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 2 : Gini100C:PovStat:Race
## --------
##
## -------------STEP 3 -------------
##
## Call:
## lm(formula = LabResLDLcalcimp ~ Gini100C + PovStat + Race + I(Gini100C^2) +
## Age0 + Sex + HseHldEducationDich + CVDclusterdich + DMMclusterdich +
## PhysBMI + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia +
## SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C +
## Gini100C:PovStat + Gini100C:Race + PovStat:Race + PovStat:I(Gini100C^2) +
## Race:I(Gini100C^2), data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -93.88 -23.16 -1.64 18.93 152.69
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 73.46058 6.47131 11.35 < 2e-16
## Gini100C -0.00635 0.27208 -0.02 0.9814
## PovStat 0.48023 3.36373 0.14 0.8865
## Race -2.93922 2.71952 -1.08 0.2799
## I(Gini100C^2) 0.02149 0.02930 0.73 0.4633
## Age0 0.55680 0.09459 5.89 0.0000000047
## Sex -2.93881 1.64599 -1.79 0.0744
## HseHldEducationDich 1.78750 1.78067 1.00 0.3156
## CVDclusterdich -11.74305 4.29485 -2.73 0.0063
## DMMclusterdich -4.00029 2.12137 -1.89 0.0595
## PhysBMI 0.53780 0.11171 4.81 0.0000015961
## rxPsych -0.20365 2.33514 -0.09 0.9305
## rxHTN 2.39383 2.15048 1.11 0.2658
## rxDiabetes -6.98419 3.45421 -2.02 0.0433
## rxHypercholesterolemia -8.92375 2.91743 -3.06 0.0023
## SmokingCurr 0.27781 2.06958 0.13 0.8932
## AlcoholCurr -3.38307 1.67380 -2.02 0.0434
## IllicitDrugCurr -1.22919 2.28240 -0.54 0.5903
## MedianHouseholdIncome2C 1.55815 0.80961 1.92 0.0544
## Gini100C:PovStat 0.22654 0.35028 0.65 0.5179
## Gini100C:Race -0.05491 0.33900 -0.16 0.8713
## PovStat:Race -0.94684 3.60018 -0.26 0.7926
## PovStat:I(Gini100C^2) -0.04790 0.03554 -1.35 0.1779
## Race:I(Gini100C^2) -0.00611 0.03672 -0.17 0.8679
##
## Residual standard error: 33.9 on 1867 degrees of freedom
## Multiple R-squared: 0.068, Adjusted R-squared: 0.0565
## F-statistic: 5.92 on 23 and 1867 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 3 : Race:I(Gini100C^2)
## --------
##
## -------------STEP 4 -------------
##
## Call:
## lm(formula = LabResLDLcalcimp ~ Gini100C + PovStat + Race + I(Gini100C^2) +
## Age0 + Sex + HseHldEducationDich + CVDclusterdich + DMMclusterdich +
## PhysBMI + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia +
## SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C +
## Gini100C:PovStat + Gini100C:Race + PovStat:Race + PovStat:I(Gini100C^2),
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -93.80 -23.22 -1.74 18.93 152.59
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 73.6166 6.4013 11.50 < 2e-16
## Gini100C 0.0115 0.2499 0.05 0.9632
## PovStat 0.5634 3.3255 0.17 0.8655
## Race -3.1991 2.2255 -1.44 0.1508
## I(Gini100C^2) 0.0187 0.0240 0.78 0.4357
## Age0 0.5569 0.0946 5.89 0.0000000046
## Sex -2.9519 1.6437 -1.80 0.0727
## HseHldEducationDich 1.8043 1.7773 1.02 0.3101
## CVDclusterdich -11.7496 4.2935 -2.74 0.0063
## DMMclusterdich -4.0268 2.1148 -1.90 0.0571
## PhysBMI 0.5374 0.1116 4.81 0.0000016066
## rxPsych -0.2108 2.3341 -0.09 0.9281
## rxHTN 2.3967 2.1498 1.11 0.2651
## rxDiabetes -6.9592 3.4500 -2.02 0.0438
## rxHypercholesterolemia -8.9239 2.9167 -3.06 0.0022
## SmokingCurr 0.2838 2.0687 0.14 0.8909
## AlcoholCurr -3.3890 1.6730 -2.03 0.0429
## IllicitDrugCurr -1.2442 2.2800 -0.55 0.5853
## MedianHouseholdIncome2C 1.5610 0.8092 1.93 0.0539
## Gini100C:PovStat 0.2296 0.3497 0.66 0.5115
## Gini100C:Race -0.0884 0.2728 -0.32 0.7461
## PovStat:Race -0.9554 3.5989 -0.27 0.7907
## PovStat:I(Gini100C^2) -0.0498 0.0336 -1.48 0.1384
##
## Residual standard error: 33.9 on 1868 degrees of freedom
## Multiple R-squared: 0.0679, Adjusted R-squared: 0.057
## F-statistic: 6.19 on 22 and 1868 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 4 : PovStat:I(Gini100C^2)
## --------
##
## -------------STEP 5 -------------
##
## Call:
## lm(formula = LabResLDLcalcimp ~ Gini100C + PovStat + Race + I(Gini100C^2) +
## Age0 + Sex + HseHldEducationDich + CVDclusterdich + DMMclusterdich +
## PhysBMI + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia +
## SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C +
## Gini100C:PovStat + Gini100C:Race + PovStat:Race, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -94.60 -23.45 -1.67 19.16 153.29
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 75.06216 6.32862 11.86 < 2e-16
## Gini100C 0.18301 0.22161 0.83 0.4090
## PovStat -2.06511 2.81432 -0.73 0.4632
## Race -3.66025 2.20436 -1.66 0.0970
## I(Gini100C^2) -0.00636 0.01701 -0.37 0.7085
## Age0 0.55844 0.09459 5.90 0.0000000042
## Sex -2.98913 1.64401 -1.82 0.0692
## HseHldEducationDich 1.76802 1.77773 0.99 0.3201
## CVDclusterdich -11.85102 4.29438 -2.76 0.0058
## DMMclusterdich -4.12385 2.11449 -1.95 0.0513
## PhysBMI 0.53381 0.11166 4.78 0.0000018832
## rxPsych -0.40471 2.33122 -0.17 0.8622
## rxHTN 2.34079 2.15021 1.09 0.2765
## rxDiabetes -6.77806 3.44897 -1.97 0.0495
## rxHypercholesterolemia -8.96848 2.91745 -3.07 0.0021
## SmokingCurr 0.31586 2.06929 0.15 0.8787
## AlcoholCurr -3.40269 1.67350 -2.03 0.0422
## IllicitDrugCurr -1.24666 2.28074 -0.55 0.5847
## MedianHouseholdIncome2C 1.62807 0.80822 2.01 0.0441
## Gini100C:PovStat -0.09799 0.27109 -0.36 0.7178
## Gini100C:Race -0.15551 0.26914 -0.58 0.5635
## PovStat:Race 0.06310 3.53381 0.02 0.9858
##
## Residual standard error: 33.9 on 1869 degrees of freedom
## Multiple R-squared: 0.0668, Adjusted R-squared: 0.0564
## F-statistic: 6.38 on 21 and 1869 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 5 : PovStat:Race
## --------
##
## -------------STEP 6 -------------
##
## Call:
## lm(formula = LabResLDLcalcimp ~ Gini100C + PovStat + Race + I(Gini100C^2) +
## Age0 + Sex + HseHldEducationDich + CVDclusterdich + DMMclusterdich +
## PhysBMI + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia +
## SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C +
## Gini100C:PovStat + Gini100C:Race, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -94.61 -23.45 -1.67 19.16 153.28
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 75.05497 6.31412 11.89 < 2e-16
## Gini100C 0.18329 0.22103 0.83 0.4071
## PovStat -2.02534 1.72018 -1.18 0.2392
## Race -3.63782 1.81063 -2.01 0.0447
## I(Gini100C^2) -0.00638 0.01697 -0.38 0.7069
## Age0 0.55840 0.09452 5.91 0.0000000041
## Sex -2.98887 1.64351 -1.82 0.0691
## HseHldEducationDich 1.76867 1.77688 1.00 0.3197
## CVDclusterdich -11.85117 4.29322 -2.76 0.0058
## DMMclusterdich -4.12366 2.11389 -1.95 0.0512
## PhysBMI 0.53368 0.11140 4.79 0.0000017946
## rxPsych -0.40364 2.32982 -0.17 0.8625
## rxHTN 2.34248 2.14754 1.09 0.2755
## rxDiabetes -6.77981 3.44665 -1.97 0.0493
## rxHypercholesterolemia -8.96703 2.91553 -3.08 0.0021
## SmokingCurr 0.31691 2.06790 0.15 0.8782
## AlcoholCurr -3.40151 1.67173 -2.03 0.0420
## IllicitDrugCurr -1.24673 2.28013 -0.55 0.5846
## MedianHouseholdIncome2C 1.62996 0.80106 2.03 0.0420
## Gini100C:PovStat -0.09677 0.26219 -0.37 0.7121
## Gini100C:Race -0.15583 0.26845 -0.58 0.5617
##
## Residual standard error: 33.9 on 1870 degrees of freedom
## Multiple R-squared: 0.0668, Adjusted R-squared: 0.0569
## F-statistic: 6.7 on 20 and 1870 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 6 : Gini100C:PovStat
## --------
##
## -------------STEP 7 -------------
##
## Call:
## lm(formula = LabResLDLcalcimp ~ Gini100C + PovStat + Race + I(Gini100C^2) +
## Age0 + Sex + HseHldEducationDich + CVDclusterdich + DMMclusterdich +
## PhysBMI + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia +
## SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C +
## Gini100C:Race, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -94.62 -23.55 -1.73 19.04 153.06
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 75.15243 6.30714 11.92 < 2e-16
## Gini100C 0.16638 0.21619 0.77 0.4416
## PovStat -1.98852 1.71689 -1.16 0.2469
## Race -3.78649 1.76485 -2.15 0.0320
## I(Gini100C^2) -0.00739 0.01674 -0.44 0.6589
## Age0 0.55773 0.09449 5.90 0.0000000042
## Sex -2.98536 1.64310 -1.82 0.0694
## HseHldEducationDich 1.82107 1.77079 1.03 0.3039
## CVDclusterdich -11.86708 4.29201 -2.76 0.0057
## DMMclusterdich -4.12973 2.11334 -1.95 0.0508
## PhysBMI 0.53426 0.11137 4.80 0.0000017358
## rxPsych -0.46038 2.32420 -0.20 0.8430
## rxHTN 2.34335 2.14704 1.09 0.2752
## rxDiabetes -6.76172 3.44551 -1.96 0.0499
## rxHypercholesterolemia -8.98462 2.91447 -3.08 0.0021
## SmokingCurr 0.32005 2.06740 0.15 0.8770
## AlcoholCurr -3.41444 1.67098 -2.04 0.0412
## IllicitDrugCurr -1.25167 2.27956 -0.55 0.5830
## MedianHouseholdIncome2C 1.61958 0.80038 2.02 0.0432
## Gini100C:Race -0.19089 0.25103 -0.76 0.4471
##
## Residual standard error: 33.9 on 1871 degrees of freedom
## Multiple R-squared: 0.0668, Adjusted R-squared: 0.0573
## F-statistic: 7.05 on 19 and 1871 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 7 : I(Gini100C^2)
## --------
##
## -------------STEP 8 -------------
##
## Call:
## lm(formula = LabResLDLcalcimp ~ Gini100C + PovStat + Race + Age0 +
## Sex + HseHldEducationDich + CVDclusterdich + DMMclusterdich +
## PhysBMI + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia +
## SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C +
## Gini100C:Race, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -94.43 -23.40 -1.85 19.11 152.81
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 74.7857 6.2509 11.96 < 2e-16
## Gini100C 0.1209 0.1901 0.64 0.5247
## PovStat -2.0074 1.7160 -1.17 0.2422
## Race -3.6982 1.7531 -2.11 0.0350
## Age0 0.5574 0.0945 5.90 0.0000000043
## Sex -3.0194 1.6409 -1.84 0.0659
## HseHldEducationDich 1.7753 1.7674 1.00 0.3153
## CVDclusterdich -11.9537 4.2866 -2.79 0.0053
## DMMclusterdich -4.1818 2.1096 -1.98 0.0476
## PhysBMI 0.5379 0.1110 4.84 0.0000013705
## rxPsych -0.5100 2.3210 -0.22 0.8261
## rxHTN 2.3616 2.1462 1.10 0.2713
## rxDiabetes -6.6836 3.4402 -1.94 0.0522
## rxHypercholesterolemia -9.0015 2.9136 -3.09 0.0020
## SmokingCurr 0.3210 2.0670 0.16 0.8766
## AlcoholCurr -3.4250 1.6704 -2.05 0.0405
## IllicitDrugCurr -1.3119 2.2750 -0.58 0.5642
## MedianHouseholdIncome2C 1.5526 0.7857 1.98 0.0483
## Gini100C:Race -0.2053 0.2488 -0.83 0.4094
##
## Residual standard error: 33.9 on 1872 degrees of freedom
## Multiple R-squared: 0.0667, Adjusted R-squared: 0.0577
## F-statistic: 7.43 on 18 and 1872 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 8 : Gini100C:Race
## --------
##
## -------------STEP 9 -------------
##
## Call:
## lm(formula = LabResLDLcalcimp ~ Gini100C + PovStat + Race + Age0 +
## Sex + HseHldEducationDich + CVDclusterdich + DMMclusterdich +
## PhysBMI + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia +
## SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C,
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -94.4 -23.6 -1.7 19.1 153.2
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 74.85866 6.24970 11.98 < 2e-16
## Gini100C 0.00447 0.12730 0.04 0.9720
## PovStat -2.21798 1.69676 -1.31 0.1913
## Race -3.56668 1.74569 -2.04 0.0412
## Age0 0.55337 0.09433 5.87 0.0000000053
## Sex -3.09004 1.63857 -1.89 0.0595
## HseHldEducationDich 1.87992 1.76265 1.07 0.2863
## CVDclusterdich -12.00494 4.28579 -2.80 0.0051
## DMMclusterdich -4.16460 2.10931 -1.97 0.0485
## PhysBMI 0.53483 0.11096 4.82 0.0000015500
## rxPsych -0.53069 2.32065 -0.23 0.8191
## rxHTN 2.40783 2.14527 1.12 0.2618
## rxDiabetes -6.72539 3.43955 -1.96 0.0507
## rxHypercholesterolemia -8.98820 2.91330 -3.09 0.0021
## SmokingCurr 0.35355 2.06640 0.17 0.8642
## AlcoholCurr -3.35895 1.66838 -2.01 0.0442
## IllicitDrugCurr -1.36901 2.27374 -0.60 0.5472
## MedianHouseholdIncome2C 1.61195 0.78236 2.06 0.0395
##
## Residual standard error: 33.9 on 1873 degrees of freedom
## Multiple R-squared: 0.0663, Adjusted R-squared: 0.0579
## F-statistic: 7.83 on 17 and 1873 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 9 : Gini100C
## --------
## Warning: All variables have been thrown out of the model.
## No model could be specified.
## ***************** END Backward Elimination: LabResLDLcalcimp *****************************
##
##
## ************************************************************
## ************************************************************
## BEGIN: LabResHDLimp
## ************************************************************
## ************************************************************
## -------------STEP 1 -------------
##
## Call:
## lm(formula = "LabResHDLimp ~ Gini100C*PovStat*Race + I(Gini100C^2)*PovStat*Race + Age0 + Sex + Race + HseHldEducationDich + PovStat + CVDclusterdich + DMMclusterdich + PhysBMI + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C",
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -50.37 -9.81 -2.12 7.62 111.70
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 63.8262 2.9495 21.64 < 2e-16
## Gini100C 0.2379 0.1358 1.75 0.0799
## PovStat -4.8726 1.8977 -2.57 0.0103
## Race 1.5831 1.3713 1.15 0.2485
## I(Gini100C^2) -0.0127 0.0147 -0.86 0.3904
## Age0 0.1883 0.0431 4.37 0.00001321
## Sex -9.7251 0.7491 -12.98 < 2e-16
## HseHldEducationDich 0.1691 0.8106 0.21 0.8348
## CVDclusterdich -4.4366 1.9559 -2.27 0.0234
## DMMclusterdich -2.6351 0.9652 -2.73 0.0064
## PhysBMI -0.6151 0.0508 -12.10 < 2e-16
## rxPsych -1.7701 1.0626 -1.67 0.0959
## rxHTN -0.0635 0.9785 -0.06 0.9482
## rxDiabetes -1.2914 1.5732 -0.82 0.4118
## rxHypercholesterolemia -0.0195 1.3274 -0.01 0.9883
## SmokingCurr 1.1469 0.9418 1.22 0.2235
## AlcoholCurr 3.9784 0.7616 5.22 0.00000019
## IllicitDrugCurr 2.2813 1.0387 2.20 0.0282
## MedianHouseholdIncome2C -0.5813 0.3689 -1.58 0.1152
## Gini100C:PovStat -0.1990 0.2534 -0.79 0.4323
## Gini100C:Race -0.4688 0.1899 -2.47 0.0137
## PovStat:Race 9.6783 2.2228 4.35 0.00001409
## PovStat:I(Gini100C^2) 0.0175 0.0271 0.64 0.5204
## Race:I(Gini100C^2) 0.0374 0.0216 1.73 0.0844
## Gini100C:PovStat:Race 0.7708 0.3261 2.36 0.0182
## PovStat:Race:I(Gini100C^2) -0.0814 0.0339 -2.40 0.0164
##
## Residual standard error: 15.4 on 1865 degrees of freedom
## Multiple R-squared: 0.213, Adjusted R-squared: 0.203
## F-statistic: 20.2 on 25 and 1865 DF, p-value: <2e-16
##
## ***************** END Backward Elimination: LabResHDLimp *****************************
##
##
## ************************************************************
## ************************************************************
## BEGIN: LabResHDLimplog
## ************************************************************
## ************************************************************
## -------------STEP 1 -------------
##
## Call:
## lm(formula = "LabResHDLimplog ~ Gini100C*PovStat*Race + I(Gini100C^2)*PovStat*Race + Age0 + Sex + Race + HseHldEducationDich + PovStat + CVDclusterdich + DMMclusterdich + PhysBMI + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C",
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.6916 -0.0715 -0.0022 0.0730 0.5264
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 1.792405 0.021908 81.82 < 2e-16
## Gini100C 0.002175 0.001009 2.16 0.0312
## PovStat -0.044180 0.014096 -3.13 0.0017
## Race 0.012109 0.010186 1.19 0.2347
## I(Gini100C^2) -0.000110 0.000109 -1.00 0.3165
## Age0 0.001491 0.000320 4.66 0.000003435
## Sex -0.080827 0.005564 -14.53 < 2e-16
## HseHldEducationDich 0.001408 0.006021 0.23 0.8152
## CVDclusterdich -0.038886 0.014528 -2.68 0.0075
## DMMclusterdich -0.017855 0.007170 -2.49 0.0128
## PhysBMI -0.004500 0.000378 -11.92 < 2e-16
## rxPsych -0.013346 0.007893 -1.69 0.0910
## rxHTN -0.003310 0.007268 -0.46 0.6489
## rxDiabetes -0.013114 0.011686 -1.12 0.2619
## rxHypercholesterolemia -0.000932 0.009860 -0.09 0.9247
## SmokingCurr 0.009556 0.006995 1.37 0.1721
## AlcoholCurr 0.030739 0.005657 5.43 0.000000062
## IllicitDrugCurr 0.018147 0.007715 2.35 0.0188
## MedianHouseholdIncome2C -0.004634 0.002740 -1.69 0.0910
## Gini100C:PovStat -0.001766 0.001882 -0.94 0.3481
## Gini100C:Race -0.003810 0.001411 -2.70 0.0070
## PovStat:Race 0.075373 0.016511 4.57 0.000005319
## PovStat:I(Gini100C^2) 0.000199 0.000202 0.99 0.3242
## Race:I(Gini100C^2) 0.000292 0.000161 1.82 0.0694
## Gini100C:PovStat:Race 0.005045 0.002423 2.08 0.0374
## PovStat:Race:I(Gini100C^2) -0.000619 0.000252 -2.46 0.0139
##
## Residual standard error: 0.115 on 1865 degrees of freedom
## Multiple R-squared: 0.229, Adjusted R-squared: 0.218
## F-statistic: 22.1 on 25 and 1865 DF, p-value: <2e-16
##
## ***************** END Backward Elimination: LabResHDLimplog *****************************
##
##
## ************************************************************
## ************************************************************
## BEGIN: LabResCholimp
## ************************************************************
## ************************************************************
## -------------STEP 1 -------------
##
## Call:
## lm(formula = "LabResCholimp ~ Gini100C*PovStat*Race + I(Gini100C^2)*PovStat*Race + Age0 + Sex + Race + HseHldEducationDich + PovStat + CVDclusterdich + DMMclusterdich + PhysBMI + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C",
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -105.3 -26.0 -2.7 21.8 474.1
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 152.4529 7.9120 19.27 < 2e-16
## Gini100C -0.0414 0.3643 -0.11 0.90947
## PovStat -0.5920 5.0906 -0.12 0.90744
## Race -7.1448 3.6786 -1.94 0.05226
## I(Gini100C^2) 0.0133 0.0395 0.34 0.73675
## Age0 0.7838 0.1156 6.78 0.000000000016
## Sex -7.6899 2.0094 -3.83 0.00013
## HseHldEducationDich 0.9249 2.1744 0.43 0.67061
## CVDclusterdich -17.0159 5.2466 -3.24 0.00120
## DMMclusterdich -5.4672 2.5893 -2.11 0.03487
## PhysBMI 0.1769 0.1364 1.30 0.19478
## rxPsych 0.2550 2.8504 0.09 0.92874
## rxHTN 3.7519 2.6248 1.43 0.15306
## rxDiabetes -1.9395 4.2203 -0.46 0.64589
## rxHypercholesterolemia -8.7927 3.5609 -2.47 0.01363
## SmokingCurr 2.7231 2.5264 1.08 0.28123
## AlcoholCurr 0.7513 2.0430 0.37 0.71311
## IllicitDrugCurr 0.8299 2.7864 0.30 0.76587
## MedianHouseholdIncome2C 0.6080 0.9895 0.61 0.53897
## Gini100C:PovStat -0.0666 0.6797 -0.10 0.92199
## Gini100C:Race -0.3451 0.5095 -0.68 0.49835
## PovStat:Race 3.2204 5.9628 0.54 0.58920
## PovStat:I(Gini100C^2) -0.0627 0.0728 -0.86 0.38914
## Race:I(Gini100C^2) 0.0245 0.0581 0.42 0.67367
## Gini100C:PovStat:Race 0.8385 0.8749 0.96 0.33797
## PovStat:Race:I(Gini100C^2) -0.0396 0.0909 -0.44 0.66275
##
## Residual standard error: 41.4 on 1865 degrees of freedom
## Multiple R-squared: 0.0587, Adjusted R-squared: 0.046
## F-statistic: 4.65 on 25 and 1865 DF, p-value: 3.14e-13
##
##
## --------
## Term dropped in step 1 : PovStat:Race:I(Gini100C^2)
## --------
##
## -------------STEP 2 -------------
##
## Call:
## lm(formula = LabResCholimp ~ Gini100C + PovStat + Race + I(Gini100C^2) +
## Age0 + Sex + HseHldEducationDich + CVDclusterdich + DMMclusterdich +
## PhysBMI + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia +
## SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C +
## Gini100C:PovStat + Gini100C:Race + PovStat:Race + PovStat:I(Gini100C^2) +
## Race:I(Gini100C^2) + Gini100C:PovStat:Race, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -105.9 -26.2 -2.8 21.7 474.2
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 152.25008 7.89659 19.28 < 2e-16
## Gini100C -0.08755 0.34849 -0.25 0.80167
## PovStat 0.67152 4.18525 0.16 0.87254
## Race -6.45331 3.31876 -1.94 0.05199
## I(Gini100C^2) 0.02059 0.03579 0.58 0.56524
## Age0 0.78100 0.11542 6.77 0.000000000018
## Sex -7.68205 2.00887 -3.82 0.00014
## HseHldEducationDich 0.90625 2.17348 0.42 0.67676
## CVDclusterdich -17.10186 5.24179 -3.26 0.00112
## DMMclusterdich -5.46400 2.58872 -2.11 0.03493
## PhysBMI 0.17524 0.13631 1.29 0.19876
## rxPsych 0.27189 2.84954 0.10 0.92399
## rxHTN 3.74073 2.62412 1.43 0.15418
## rxDiabetes -1.89167 4.21793 -0.45 0.65386
## rxHypercholesterolemia -8.78167 3.56002 -2.47 0.01372
## SmokingCurr 2.72913 2.52580 1.08 0.28006
## AlcoholCurr 0.76002 2.04245 0.37 0.70985
## IllicitDrugCurr 0.82894 2.78577 0.30 0.76607
## MedianHouseholdIncome2C 0.60703 0.98929 0.61 0.53955
## Gini100C:PovStat 0.06501 0.60900 0.11 0.91500
## Gini100C:Race -0.25827 0.46896 -0.55 0.58188
## PovStat:Race 1.48983 4.45029 0.33 0.73784
## PovStat:I(Gini100C^2) -0.08818 0.04352 -2.03 0.04291
## Race:I(Gini100C^2) 0.00836 0.04482 0.19 0.85206
## Gini100C:PovStat:Race 0.61395 0.70720 0.87 0.38543
##
## Residual standard error: 41.4 on 1866 degrees of freedom
## Multiple R-squared: 0.0586, Adjusted R-squared: 0.0465
## F-statistic: 4.84 on 24 and 1866 DF, p-value: 1.51e-13
##
##
## --------
## Term dropped in step 2 : Race:I(Gini100C^2)
## --------
##
## -------------STEP 3 -------------
##
## Call:
## lm(formula = LabResCholimp ~ Gini100C + PovStat + Race + I(Gini100C^2) +
## Age0 + Sex + HseHldEducationDich + CVDclusterdich + DMMclusterdich +
## PhysBMI + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia +
## SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C +
## Gini100C:PovStat + Gini100C:Race + PovStat:Race + PovStat:I(Gini100C^2) +
## Gini100C:PovStat:Race, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -106.2 -26.3 -2.8 21.8 474.3
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 152.0368 7.8113 19.46 < 2e-16
## Gini100C -0.1115 0.3240 -0.34 0.73083
## PovStat 0.5538 4.1363 0.13 0.89351
## Race -6.0981 2.7173 -2.24 0.02494
## I(Gini100C^2) 0.0244 0.0293 0.83 0.40563
## Age0 0.7808 0.1154 6.77 0.000000000018
## Sex -7.6639 2.0060 -3.82 0.00014
## HseHldEducationDich 0.8835 2.1695 0.41 0.68389
## CVDclusterdich -17.0934 5.2402 -3.26 0.00113
## DMMclusterdich -5.4276 2.5807 -2.10 0.03559
## PhysBMI 0.1758 0.1362 1.29 0.19696
## rxPsych 0.2815 2.8483 0.10 0.92128
## rxHTN 3.7368 2.6234 1.42 0.15449
## rxDiabetes -1.9267 4.2127 -0.46 0.64747
## rxHypercholesterolemia -8.7814 3.5591 -2.47 0.01370
## SmokingCurr 2.7212 2.5248 1.08 0.28126
## AlcoholCurr 0.7682 2.0415 0.38 0.70675
## IllicitDrugCurr 0.8492 2.7829 0.31 0.76028
## MedianHouseholdIncome2C 0.6034 0.9888 0.61 0.54180
## Gini100C:PovStat 0.0587 0.6079 0.10 0.92314
## Gini100C:Race -0.2136 0.4031 -0.53 0.59623
## PovStat:Race 1.5050 4.4484 0.34 0.73515
## PovStat:I(Gini100C^2) -0.0856 0.0412 -2.08 0.03797
## Gini100C:PovStat:Race 0.6174 0.7068 0.87 0.38247
##
## Residual standard error: 41.4 on 1867 degrees of freedom
## Multiple R-squared: 0.0585, Adjusted R-squared: 0.0469
## F-statistic: 5.05 on 23 and 1867 DF, p-value: 6.67e-14
##
##
## --------
## Term dropped in step 3 : Gini100C:PovStat:Race
## --------
##
## -------------STEP 4 -------------
##
## Call:
## lm(formula = LabResCholimp ~ Gini100C + PovStat + Race + I(Gini100C^2) +
## Age0 + Sex + HseHldEducationDich + CVDclusterdich + DMMclusterdich +
## PhysBMI + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia +
## SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C +
## Gini100C:PovStat + Gini100C:Race + PovStat:Race + PovStat:I(Gini100C^2),
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -107.0 -26.3 -2.8 21.5 474.8
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 151.9882 7.8106 19.46 < 2e-16
## Gini100C -0.2069 0.3049 -0.68 0.49747
## PovStat 1.2539 4.0577 0.31 0.75735
## Race -6.0161 2.7155 -2.22 0.02685
## I(Gini100C^2) 0.0264 0.0293 0.90 0.36738
## Age0 0.7804 0.1154 6.76 0.000000000018
## Sex -7.6954 2.0056 -3.84 0.00013
## HseHldEducationDich 0.8348 2.1686 0.38 0.70033
## CVDclusterdich -17.0006 5.2388 -3.25 0.00119
## DMMclusterdich -5.4474 2.5804 -2.11 0.03490
## PhysBMI 0.1753 0.1362 1.29 0.19840
## rxPsych 0.3038 2.8480 0.11 0.91505
## rxHTN 3.7265 2.6232 1.42 0.15560
## rxDiabetes -1.7927 4.2096 -0.43 0.67026
## rxHypercholesterolemia -8.7995 3.5588 -2.47 0.01350
## SmokingCurr 2.6806 2.5242 1.06 0.28840
## AlcoholCurr 0.7732 2.0413 0.38 0.70491
## IllicitDrugCurr 0.9061 2.7820 0.33 0.74470
## MedianHouseholdIncome2C 0.5576 0.9874 0.56 0.57232
## Gini100C:PovStat 0.4369 0.4267 1.02 0.30604
## Gini100C:Race -0.0151 0.3329 -0.05 0.96383
## PovStat:Race 0.8855 4.3912 0.20 0.84021
## PovStat:I(Gini100C^2) -0.0821 0.0410 -2.00 0.04550
##
## Residual standard error: 41.4 on 1868 degrees of freedom
## Multiple R-squared: 0.0582, Adjusted R-squared: 0.0471
## F-statistic: 5.24 on 22 and 1868 DF, p-value: 3.9e-14
##
##
## --------
## Term dropped in step 4 : Gini100C:Race
## --------
##
## -------------STEP 5 -------------
##
## Call:
## lm(formula = LabResCholimp ~ Gini100C + PovStat + Race + I(Gini100C^2) +
## Age0 + Sex + HseHldEducationDich + CVDclusterdich + DMMclusterdich +
## PhysBMI + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia +
## SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C +
## Gini100C:PovStat + PovStat:Race + PovStat:I(Gini100C^2),
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -107.0 -26.3 -2.8 21.6 474.8
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 151.9856 7.8083 19.46 < 2e-16
## Gini100C -0.2136 0.2669 -0.80 0.42361
## PovStat 1.2474 4.0541 0.31 0.75835
## Race -6.0034 2.7003 -2.22 0.02632
## I(Gini100C^2) 0.0265 0.0292 0.91 0.36402
## Age0 0.7802 0.1153 6.77 0.000000000017
## Sex -7.6993 2.0033 -3.84 0.00013
## HseHldEducationDich 0.8392 2.1658 0.39 0.69844
## CVDclusterdich -17.0009 5.2374 -3.25 0.00119
## DMMclusterdich -5.4447 2.5790 -2.11 0.03490
## PhysBMI 0.1750 0.1361 1.29 0.19855
## rxPsych 0.3073 2.8463 0.11 0.91404
## rxHTN 3.7290 2.6219 1.42 0.15512
## rxDiabetes -1.7981 4.2068 -0.43 0.66911
## rxHypercholesterolemia -8.7975 3.5576 -2.47 0.01349
## SmokingCurr 2.6820 2.5233 1.06 0.28798
## AlcoholCurr 0.7779 2.0381 0.38 0.70275
## IllicitDrugCurr 0.9038 2.7808 0.33 0.74522
## MedianHouseholdIncome2C 0.5620 0.9824 0.57 0.56735
## Gini100C:PovStat 0.4336 0.4204 1.03 0.30253
## PovStat:Race 0.8922 4.3876 0.20 0.83889
## PovStat:I(Gini100C^2) -0.0824 0.0404 -2.04 0.04173
##
## Residual standard error: 41.3 on 1869 degrees of freedom
## Multiple R-squared: 0.0582, Adjusted R-squared: 0.0476
## F-statistic: 5.5 on 21 and 1869 DF, p-value: 1.63e-14
##
##
## --------
## Term dropped in step 5 : PovStat:Race
## --------
##
## -------------STEP 6 -------------
##
## Call:
## lm(formula = LabResCholimp ~ Gini100C + PovStat + Race + I(Gini100C^2) +
## Age0 + Sex + HseHldEducationDich + CVDclusterdich + DMMclusterdich +
## PhysBMI + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia +
## SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C +
## Gini100C:PovStat + PovStat:I(Gini100C^2), data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -106.9 -26.4 -2.8 21.6 474.7
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 151.8410 7.7739 19.53 < 2e-16
## Gini100C -0.2164 0.2665 -0.81 0.41682
## PovStat 1.8729 2.6405 0.71 0.47824
## Race -5.6807 2.1842 -2.60 0.00937
## I(Gini100C^2) 0.0270 0.0290 0.93 0.35228
## Age0 0.7794 0.1152 6.77 0.000000000017
## Sex -7.6952 2.0026 -3.84 0.00013
## HseHldEducationDich 0.8500 2.1646 0.39 0.69462
## CVDclusterdich -16.9998 5.2361 -3.25 0.00119
## DMMclusterdich -5.4385 2.5782 -2.11 0.03504
## PhysBMI 0.1734 0.1358 1.28 0.20189
## rxPsych 0.3287 2.8436 0.12 0.90799
## rxHTN 3.7542 2.6183 1.43 0.15178
## rxDiabetes -1.8286 4.2030 -0.44 0.66355
## rxHypercholesterolemia -8.7760 3.5551 -2.47 0.01365
## SmokingCurr 2.6955 2.5218 1.07 0.28527
## AlcoholCurr 0.7952 2.0358 0.39 0.69614
## IllicitDrugCurr 0.9024 2.7801 0.32 0.74552
## MedianHouseholdIncome2C 0.5863 0.9749 0.60 0.54767
## Gini100C:PovStat 0.4603 0.3993 1.15 0.24919
## PovStat:I(Gini100C^2) -0.0840 0.0396 -2.12 0.03403
##
## Residual standard error: 41.3 on 1870 degrees of freedom
## Multiple R-squared: 0.0581, Adjusted R-squared: 0.0481
## F-statistic: 5.77 on 20 and 1870 DF, p-value: 6.74e-15
##
## ***************** END Backward Elimination: LabResCholimp *****************************
##
##
## ************************************************************
## ************************************************************
## BEGIN: LabResCholimplog
## ************************************************************
## ************************************************************
## -------------STEP 1 -------------
##
## Call:
## lm(formula = "LabResCholimplog ~ Gini100C*PovStat*Race + I(Gini100C^2)*PovStat*Race + Age0 + Sex + Race + HseHldEducationDich + PovStat + CVDclusterdich + DMMclusterdich + PhysBMI + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C",
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.3312 -0.0555 0.0033 0.0564 0.5849
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.1873606 0.0177591 123.17 < 2e-16
## Gini100C -0.0000868 0.0008176 -0.11 0.91550
## PovStat -0.0052277 0.0114264 -0.46 0.64735
## Race -0.0170973 0.0082570 -2.07 0.03853
## I(Gini100C^2) 0.0000404 0.0000887 0.46 0.64910
## Age0 0.0018291 0.0002595 7.05 0.0000000000026
## Sex -0.0211084 0.0045102 -4.68 0.0000030736668
## HseHldEducationDich 0.0012979 0.0048805 0.27 0.79032
## CVDclusterdich -0.0411787 0.0117765 -3.50 0.00048
## DMMclusterdich -0.0128961 0.0058119 -2.22 0.02661
## PhysBMI 0.0003800 0.0003062 1.24 0.21465
## rxPsych -0.0007246 0.0063980 -0.11 0.90984
## rxHTN 0.0098833 0.0058916 1.68 0.09361
## rxDiabetes -0.0098809 0.0094727 -1.04 0.29704
## rxHypercholesterolemia -0.0186200 0.0079927 -2.33 0.01993
## SmokingCurr 0.0045825 0.0056707 0.81 0.41914
## AlcoholCurr 0.0016359 0.0045856 0.36 0.72132
## IllicitDrugCurr 0.0021090 0.0062542 0.34 0.73600
## MedianHouseholdIncome2C 0.0012496 0.0022210 0.56 0.57376
## Gini100C:PovStat -0.0003314 0.0015257 -0.22 0.82809
## Gini100C:Race -0.0003673 0.0011436 -0.32 0.74815
## PovStat:Race 0.0105156 0.0133840 0.79 0.43215
## PovStat:I(Gini100C^2) -0.0001099 0.0001634 -0.67 0.50121
## Race:I(Gini100C^2) 0.0000198 0.0001303 0.15 0.87911
## Gini100C:PovStat:Race 0.0015650 0.0019638 0.80 0.42558
## PovStat:Race:I(Gini100C^2) -0.0000859 0.0002040 -0.42 0.67368
##
## Residual standard error: 0.0929 on 1865 degrees of freedom
## Multiple R-squared: 0.0665, Adjusted R-squared: 0.054
## F-statistic: 5.32 on 25 and 1865 DF, p-value: 5.17e-16
##
##
## --------
## Term dropped in step 1 : PovStat:Race:I(Gini100C^2)
## --------
##
## -------------STEP 2 -------------
##
## Call:
## lm(formula = LabResCholimplog ~ Gini100C + PovStat + Race + I(Gini100C^2) +
## Age0 + Sex + HseHldEducationDich + CVDclusterdich + DMMclusterdich +
## PhysBMI + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia +
## SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C +
## Gini100C:PovStat + Gini100C:Race + PovStat:Race + PovStat:I(Gini100C^2) +
## Race:I(Gini100C^2) + Gini100C:PovStat:Race, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.3306 -0.0558 0.0036 0.0563 0.5850
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.1869209 0.0177244 123.38 < 2e-16
## Gini100C -0.0001867 0.0007822 -0.24 0.81135
## PovStat -0.0024894 0.0093941 -0.26 0.79104
## Race -0.0155986 0.0074492 -2.09 0.03639
## I(Gini100C^2) 0.0000562 0.0000803 0.70 0.48438
## Age0 0.0018230 0.0002591 7.04 0.0000000000028
## Sex -0.0210915 0.0045091 -4.68 0.0000031113235
## HseHldEducationDich 0.0012574 0.0048785 0.26 0.79663
## CVDclusterdich -0.0413650 0.0117656 -3.52 0.00045
## DMMclusterdich -0.0128892 0.0058106 -2.22 0.02666
## PhysBMI 0.0003764 0.0003060 1.23 0.21877
## rxPsych -0.0006879 0.0063960 -0.11 0.91437
## rxHTN 0.0098592 0.0058900 1.67 0.09432
## rxDiabetes -0.0097773 0.0094674 -1.03 0.30186
## rxHypercholesterolemia -0.0185961 0.0079907 -2.33 0.02006
## SmokingCurr 0.0045954 0.0056693 0.81 0.41771
## AlcoholCurr 0.0016549 0.0045844 0.36 0.71816
## IllicitDrugCurr 0.0021070 0.0062528 0.34 0.73618
## MedianHouseholdIncome2C 0.0012474 0.0022205 0.56 0.57435
## Gini100C:PovStat -0.0000462 0.0013669 -0.03 0.97305
## Gini100C:Race -0.0001792 0.0010526 -0.17 0.86486
## PovStat:Race 0.0067649 0.0099890 0.68 0.49834
## PovStat:I(Gini100C^2) -0.0001651 0.0000977 -1.69 0.09116
## Race:I(Gini100C^2) -0.0000151 0.0001006 -0.15 0.88103
## Gini100C:PovStat:Race 0.0010783 0.0015874 0.68 0.49702
##
## Residual standard error: 0.0929 on 1866 degrees of freedom
## Multiple R-squared: 0.0664, Adjusted R-squared: 0.0544
## F-statistic: 5.53 on 24 and 1866 DF, p-value: 2.32e-16
##
##
## --------
## Term dropped in step 2 : Race:I(Gini100C^2)
## --------
##
## -------------STEP 3 -------------
##
## Call:
## lm(formula = LabResCholimplog ~ Gini100C + PovStat + Race + I(Gini100C^2) +
## Age0 + Sex + HseHldEducationDich + CVDclusterdich + DMMclusterdich +
## PhysBMI + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia +
## SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C +
## Gini100C:PovStat + Gini100C:Race + PovStat:Race + PovStat:I(Gini100C^2) +
## Gini100C:PovStat:Race, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.3308 -0.0554 0.0034 0.0563 0.5849
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.1873052 0.0175330 124.75 < 2e-16
## Gini100C -0.0001436 0.0007271 -0.20 0.84342
## PovStat -0.0022773 0.0092842 -0.25 0.80626
## Race -0.0162385 0.0060991 -2.66 0.00782
## I(Gini100C^2) 0.0000493 0.0000659 0.75 0.45417
## Age0 0.0018233 0.0002590 7.04 0.0000000000027
## Sex -0.0211241 0.0045026 -4.69 0.0000029088426
## HseHldEducationDich 0.0012984 0.0048695 0.27 0.78978
## CVDclusterdich -0.0413802 0.0117620 -3.52 0.00045
## DMMclusterdich -0.0129547 0.0057925 -2.24 0.02544
## PhysBMI 0.0003753 0.0003058 1.23 0.21986
## rxPsych -0.0007052 0.0063933 -0.11 0.91218
## rxHTN 0.0098662 0.0058883 1.68 0.09399
## rxDiabetes -0.0097143 0.0094556 -1.03 0.30439
## rxHypercholesterolemia -0.0185966 0.0079886 -2.33 0.02002
## SmokingCurr 0.0046097 0.0056670 0.81 0.41608
## AlcoholCurr 0.0016402 0.0045822 0.36 0.72042
## IllicitDrugCurr 0.0020704 0.0062464 0.33 0.74034
## MedianHouseholdIncome2C 0.0012540 0.0022195 0.56 0.57216
## Gini100C:PovStat -0.0000347 0.0013644 -0.03 0.97970
## Gini100C:Race -0.0002596 0.0009047 -0.29 0.77416
## PovStat:Race 0.0067375 0.0099847 0.67 0.49990
## PovStat:I(Gini100C^2) -0.0001698 0.0000925 -1.84 0.06651
## Gini100C:PovStat:Race 0.0010721 0.0015864 0.68 0.49925
##
## Residual standard error: 0.0928 on 1867 degrees of freedom
## Multiple R-squared: 0.0664, Adjusted R-squared: 0.0549
## F-statistic: 5.78 on 23 and 1867 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 3 : Gini100C:PovStat:Race
## --------
##
## -------------STEP 4 -------------
##
## Call:
## lm(formula = LabResCholimplog ~ Gini100C + PovStat + Race + I(Gini100C^2) +
## Age0 + Sex + HseHldEducationDich + CVDclusterdich + DMMclusterdich +
## PhysBMI + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia +
## SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C +
## Gini100C:PovStat + Gini100C:Race + PovStat:Race + PovStat:I(Gini100C^2),
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.3295 -0.0560 0.0032 0.0562 0.5857
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.1872207 0.0175300 124.77 < 2e-16
## Gini100C -0.0003094 0.0006844 -0.45 0.65125
## PovStat -0.0010617 0.0091070 -0.12 0.90720
## Race -0.0160961 0.0060946 -2.64 0.00833
## I(Gini100C^2) 0.0000527 0.0000657 0.80 0.42206
## Age0 0.0018225 0.0002590 7.04 0.0000000000027
## Sex -0.0211788 0.0045012 -4.71 0.0000027235832
## HseHldEducationDich 0.0012138 0.0048672 0.25 0.80309
## CVDclusterdich -0.0412191 0.0117579 -3.51 0.00047
## DMMclusterdich -0.0129890 0.0057915 -2.24 0.02503
## PhysBMI 0.0003743 0.0003057 1.22 0.22102
## rxPsych -0.0006664 0.0063921 -0.10 0.91698
## rxHTN 0.0098482 0.0058874 1.67 0.09454
## rxDiabetes -0.0094816 0.0094479 -1.00 0.31572
## rxHypercholesterolemia -0.0186281 0.0079873 -2.33 0.01980
## SmokingCurr 0.0045391 0.0056653 0.80 0.42311
## AlcoholCurr 0.0016489 0.0045815 0.36 0.71896
## IllicitDrugCurr 0.0021691 0.0062438 0.35 0.72833
## MedianHouseholdIncome2C 0.0011745 0.0022161 0.53 0.59619
## Gini100C:PovStat 0.0006220 0.0009576 0.65 0.51609
## Gini100C:Race 0.0000850 0.0007472 0.11 0.90940
## PovStat:Race 0.0056617 0.0098555 0.57 0.56572
## PovStat:I(Gini100C^2) -0.0001637 0.0000920 -1.78 0.07540
##
## Residual standard error: 0.0928 on 1868 degrees of freedom
## Multiple R-squared: 0.0662, Adjusted R-squared: 0.0552
## F-statistic: 6.02 on 22 and 1868 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 4 : PovStat:I(Gini100C^2)
## --------
##
## -------------STEP 5 -------------
##
## Call:
## lm(formula = LabResCholimplog ~ Gini100C + PovStat + Race + I(Gini100C^2) +
## Age0 + Sex + HseHldEducationDich + CVDclusterdich + DMMclusterdich +
## PhysBMI + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia +
## SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C +
## Gini100C:PovStat + Gini100C:Race + PovStat:Race, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.3275 -0.0553 0.0051 0.0560 0.5867
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.1919714 0.0173355 126.44 < 2e-16
## Gini100C 0.0002542 0.0006070 0.42 0.67547
## PovStat -0.0096999 0.0077090 -1.26 0.20846
## Race -0.0176118 0.0060382 -2.92 0.00358
## I(Gini100C^2) -0.0000296 0.0000466 -0.64 0.52534
## Age0 0.0018275 0.0002591 7.05 0.0000000000024
## Sex -0.0213011 0.0045033 -4.73 0.0000024122965
## HseHldEducationDich 0.0010945 0.0048696 0.22 0.82219
## CVDclusterdich -0.0415524 0.0117632 -3.53 0.00042
## DMMclusterdich -0.0133080 0.0057920 -2.30 0.02169
## PhysBMI 0.0003626 0.0003059 1.19 0.23591
## rxPsych -0.0013038 0.0063857 -0.20 0.83824
## rxHTN 0.0096644 0.0058899 1.64 0.10100
## rxDiabetes -0.0088864 0.0094475 -0.94 0.34702
## rxHypercholesterolemia -0.0187746 0.0079915 -2.35 0.01891
## SmokingCurr 0.0046446 0.0056682 0.82 0.41266
## AlcoholCurr 0.0016040 0.0045841 0.35 0.72644
## IllicitDrugCurr 0.0021612 0.0062474 0.35 0.72943
## MedianHouseholdIncome2C 0.0013949 0.0022139 0.63 0.52872
## Gini100C:PovStat -0.0004547 0.0007426 -0.61 0.54037
## Gini100C:Race -0.0001356 0.0007372 -0.18 0.85404
## PovStat:Race 0.0090090 0.0096799 0.93 0.35213
##
## Residual standard error: 0.0929 on 1869 degrees of freedom
## Multiple R-squared: 0.0646, Adjusted R-squared: 0.0541
## F-statistic: 6.15 on 21 and 1869 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 5 : Gini100C:Race
## --------
##
## -------------STEP 6 -------------
##
## Call:
## lm(formula = LabResCholimplog ~ Gini100C + PovStat + Race + I(Gini100C^2) +
## Age0 + Sex + HseHldEducationDich + CVDclusterdich + DMMclusterdich +
## PhysBMI + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia +
## SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C +
## Gini100C:PovStat + PovStat:Race, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.3271 -0.0552 0.0052 0.0560 0.5871
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.1920303 0.0173280 126.50 < 2e-16
## Gini100C 0.0002023 0.0005373 0.38 0.70665
## PovStat -0.0099100 0.0076221 -1.30 0.19371
## Race -0.0175208 0.0060164 -2.91 0.00363
## I(Gini100C^2) -0.0000301 0.0000465 -0.65 0.51756
## Age0 0.0018257 0.0002588 7.05 0.0000000000024
## Sex -0.0213385 0.0044976 -4.74 0.0000022489994
## HseHldEducationDich 0.0011335 0.0048637 0.23 0.81574
## CVDclusterdich -0.0415613 0.0117601 -3.53 0.00042
## DMMclusterdich -0.0132885 0.0057896 -2.30 0.02183
## PhysBMI 0.0003603 0.0003055 1.18 0.23839
## rxPsych -0.0012833 0.0063831 -0.20 0.84069
## rxHTN 0.0096844 0.0058874 1.64 0.10015
## rxDiabetes -0.0089263 0.0094426 -0.95 0.34461
## rxHypercholesterolemia -0.0187590 0.0079890 -2.35 0.01897
## SmokingCurr 0.0046594 0.0056662 0.82 0.41100
## AlcoholCurr 0.0016468 0.0045770 0.36 0.71903
## IllicitDrugCurr 0.0021398 0.0062447 0.34 0.73190
## MedianHouseholdIncome2C 0.0014392 0.0022002 0.65 0.51312
## Gini100C:PovStat -0.0005037 0.0006930 -0.73 0.46739
## PovStat:Race 0.0091292 0.0096553 0.95 0.34452
##
## Residual standard error: 0.0928 on 1870 degrees of freedom
## Multiple R-squared: 0.0646, Adjusted R-squared: 0.0546
## F-statistic: 6.46 on 20 and 1870 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 6 : I(Gini100C^2)
## --------
##
## -------------STEP 7 -------------
##
## Call:
## lm(formula = LabResCholimplog ~ Gini100C + PovStat + Race + Age0 +
## Sex + HseHldEducationDich + CVDclusterdich + DMMclusterdich +
## PhysBMI + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia +
## SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C +
## Gini100C:PovStat + PovStat:Race, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.3275 -0.0554 0.0048 0.0561 0.5863
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.1905622 0.0171763 127.53 < 2e-16
## Gini100C 0.0000229 0.0004603 0.05 0.96031
## PovStat -0.0103229 0.0075942 -1.36 0.17421
## Race -0.0171874 0.0059933 -2.87 0.00418
## Age0 0.0018248 0.0002588 7.05 0.0000000000025
## Sex -0.0214854 0.0044911 -4.78 0.0000018533150
## HseHldEducationDich 0.0009150 0.0048512 0.19 0.85041
## CVDclusterdich -0.0418930 0.0117471 -3.57 0.00037
## DMMclusterdich -0.0134873 0.0057805 -2.33 0.01974
## PhysBMI 0.0003748 0.0003046 1.23 0.21870
## rxPsych -0.0014390 0.0063776 -0.23 0.82151
## rxHTN 0.0097487 0.0058856 1.66 0.09782
## rxDiabetes -0.0086272 0.0094298 -0.91 0.36037
## rxHypercholesterolemia -0.0188189 0.0079872 -2.36 0.01857
## SmokingCurr 0.0046565 0.0056653 0.82 0.41122
## AlcoholCurr 0.0016157 0.0045760 0.35 0.72407
## IllicitDrugCurr 0.0019012 0.0062329 0.31 0.76038
## MedianHouseholdIncome2C 0.0011785 0.0021627 0.54 0.58588
## Gini100C:PovStat -0.0005970 0.0006777 -0.88 0.37846
## PovStat:Race 0.0095770 0.0096290 0.99 0.32006
##
## Residual standard error: 0.0928 on 1871 degrees of freedom
## Multiple R-squared: 0.0644, Adjusted R-squared: 0.0549
## F-statistic: 6.78 on 19 and 1871 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 7 : Gini100C:PovStat
## --------
##
## -------------STEP 8 -------------
##
## Call:
## lm(formula = LabResCholimplog ~ Gini100C + PovStat + Race + Age0 +
## Sex + HseHldEducationDich + CVDclusterdich + DMMclusterdich +
## PhysBMI + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia +
## SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C +
## PovStat:Race, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.3290 -0.0556 0.0048 0.0565 0.5846
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.190654 0.017175 127.55 < 2e-16
## Gini100C -0.000234 0.000356 -0.66 0.51243
## PovStat -0.009093 0.007464 -1.22 0.22330
## Race -0.017109 0.005992 -2.86 0.00435
## Age0 0.001815 0.000259 7.02 0.0000000000031
## Sex -0.021564 0.004490 -4.80 0.0000016891039
## HseHldEducationDich 0.001313 0.004830 0.27 0.78584
## CVDclusterdich -0.042122 0.011744 -3.59 0.00034
## DMMclusterdich -0.013543 0.005780 -2.34 0.01923
## PhysBMI 0.000374 0.000305 1.23 0.21974
## rxPsych -0.001798 0.006364 -0.28 0.77755
## rxHTN 0.009874 0.005884 1.68 0.09346
## rxDiabetes -0.008556 0.009429 -0.91 0.36430
## rxHypercholesterolemia -0.018874 0.007987 -2.36 0.01822
## SmokingCurr 0.004745 0.005664 0.84 0.40233
## AlcoholCurr 0.001642 0.004576 0.36 0.71974
## IllicitDrugCurr 0.001755 0.006230 0.28 0.77824
## MedianHouseholdIncome2C 0.001185 0.002163 0.55 0.58379
## PovStat:Race 0.007570 0.009355 0.81 0.41853
##
## Residual standard error: 0.0928 on 1872 degrees of freedom
## Multiple R-squared: 0.064, Adjusted R-squared: 0.055
## F-statistic: 7.11 on 18 and 1872 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 8 : PovStat:Race
## --------
##
## -------------STEP 9 -------------
##
## Call:
## lm(formula = LabResCholimplog ~ Gini100C + PovStat + Race + Age0 +
## Sex + HseHldEducationDich + CVDclusterdich + DMMclusterdich +
## PhysBMI + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia +
## SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C,
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.3303 -0.0559 0.0048 0.0560 0.5835
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.189593 0.017123 127.87 < 2e-16
## Gini100C -0.000174 0.000349 -0.50 0.61793
## PovStat -0.004368 0.004649 -0.94 0.34756
## Race -0.014189 0.004783 -2.97 0.00305
## Age0 0.001810 0.000258 7.00 0.0000000000034
## Sex -0.021539 0.004489 -4.80 0.0000017319783
## HseHldEducationDich 0.001299 0.004829 0.27 0.78796
## CVDclusterdich -0.042123 0.011742 -3.59 0.00034
## DMMclusterdich -0.013518 0.005779 -2.34 0.01943
## PhysBMI 0.000359 0.000304 1.18 0.23836
## rxPsych -0.001588 0.006358 -0.25 0.80284
## rxHTN 0.010075 0.005878 1.71 0.08666
## rxDiabetes -0.008781 0.009424 -0.93 0.35155
## rxHypercholesterolemia -0.018676 0.007982 -2.34 0.01940
## SmokingCurr 0.004864 0.005662 0.86 0.39041
## AlcoholCurr 0.001798 0.004571 0.39 0.69404
## IllicitDrugCurr 0.001749 0.006230 0.28 0.77895
## MedianHouseholdIncome2C 0.001415 0.002144 0.66 0.50918
##
## Residual standard error: 0.0928 on 1873 degrees of freedom
## Multiple R-squared: 0.0637, Adjusted R-squared: 0.0552
## F-statistic: 7.49 on 17 and 1873 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 9 : Gini100C
## --------
## Warning: All variables have been thrown out of the model.
## No model could be specified.
## ***************** END Backward Elimination: LabResCholimplog *****************************
##
## ************************************************************
## ************************************************************
## BEGIN: PhysMeanSBPsitimp
## ************************************************************
## ************************************************************
## -------------STEP 1 -------------
##
## Call:
## lm(formula = "PhysMeanSBPsitimp ~ Gini100C*MedianHouseholdIncome2C*Race + I(Gini100C^2)*MedianHouseholdIncome2C*Race + Age0 + Sex + Race + HseHldEducationDich + PovStat + CVDclusterdich + DMMclusterdich + PhysBMI + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C",
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -41.66 -10.57 -1.93 8.92 62.83
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 73.6533 3.0140 24.44
## Gini100C 0.1529 0.1281 1.19
## MedianHouseholdIncome2C 0.0103 1.0440 0.01
## Race 2.1441 1.1551 1.86
## I(Gini100C^2) -0.0314 0.0145 -2.16
## Age0 0.5753 0.0442 13.02
## Sex 3.6747 0.7677 4.79
## HseHldEducationDich -1.4458 0.8301 -1.74
## PovStat 1.6354 0.8059 2.03
## CVDclusterdich 0.0245 2.0028 0.01
## DMMclusterdich -0.5398 0.9898 -0.55
## PhysBMI 0.5155 0.0522 9.87
## rxPsych -0.2661 1.0871 -0.24
## rxHTN 2.7732 1.0038 2.76
## rxDiabetes 0.6552 1.6115 0.41
## rxHypercholesterolemia -1.0549 1.3606 -0.78
## SmokingCurr 0.1856 0.9666 0.19
## AlcoholCurr 1.3968 0.7823 1.79
## IllicitDrugCurr 2.5157 1.0654 2.36
## Gini100C:MedianHouseholdIncome2C 0.0147 0.1323 0.11
## Gini100C:Race -0.0889 0.1803 -0.49
## MedianHouseholdIncome2C:Race 0.1820 1.2374 0.15
## MedianHouseholdIncome2C:I(Gini100C^2) 0.0127 0.0168 0.75
## Race:I(Gini100C^2) 0.0185 0.0223 0.83
## Gini100C:MedianHouseholdIncome2C:Race -0.1612 0.1795 -0.90
## MedianHouseholdIncome2C:Race:I(Gini100C^2) -0.0112 0.0203 -0.55
## Pr(>|t|)
## (Intercept) < 2e-16
## Gini100C 0.2329
## MedianHouseholdIncome2C 0.9921
## Race 0.0636
## I(Gini100C^2) 0.0309
## Age0 < 2e-16
## Sex 0.0000018
## HseHldEducationDich 0.0817
## PovStat 0.0426
## CVDclusterdich 0.9902
## DMMclusterdich 0.5856
## PhysBMI < 2e-16
## rxPsych 0.8066
## rxHTN 0.0058
## rxDiabetes 0.6844
## rxHypercholesterolemia 0.4382
## SmokingCurr 0.8478
## AlcoholCurr 0.0744
## IllicitDrugCurr 0.0183
## Gini100C:MedianHouseholdIncome2C 0.9114
## Gini100C:Race 0.6220
## MedianHouseholdIncome2C:Race 0.8831
## MedianHouseholdIncome2C:I(Gini100C^2) 0.4507
## Race:I(Gini100C^2) 0.4062
## Gini100C:MedianHouseholdIncome2C:Race 0.3691
## MedianHouseholdIncome2C:Race:I(Gini100C^2) 0.5807
##
## Residual standard error: 15.8 on 1865 degrees of freedom
## Multiple R-squared: 0.183, Adjusted R-squared: 0.172
## F-statistic: 16.7 on 25 and 1865 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 1 : MedianHouseholdIncome2C:Race:I(Gini100C^2)
## --------
##
## -------------STEP 2 -------------
##
## Call:
## lm(formula = PhysMeanSBPsitimp ~ Gini100C + MedianHouseholdIncome2C +
## Race + I(Gini100C^2) + Age0 + Sex + HseHldEducationDich +
## PovStat + CVDclusterdich + DMMclusterdich + PhysBMI + rxPsych +
## rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr +
## AlcoholCurr + IllicitDrugCurr + Gini100C:MedianHouseholdIncome2C +
## Gini100C:Race + MedianHouseholdIncome2C:Race + MedianHouseholdIncome2C:I(Gini100C^2) +
## Race:I(Gini100C^2) + Gini100C:MedianHouseholdIncome2C:Race,
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -41.47 -10.48 -1.97 8.93 63.37
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 73.55043 3.00767 24.45
## Gini100C 0.14363 0.12702 1.13
## MedianHouseholdIncome2C 0.35543 0.83627 0.43
## Race 2.13771 1.15479 1.85
## I(Gini100C^2) -0.02835 0.01346 -2.11
## Age0 0.57616 0.04415 13.05
## Sex 3.66577 0.76740 4.78
## HseHldEducationDich -1.46122 0.82949 -1.76
## PovStat 1.63081 0.80570 2.02
## CVDclusterdich 0.02116 2.00238 0.01
## DMMclusterdich -0.54537 0.98960 -0.55
## PhysBMI 0.51582 0.05222 9.88
## rxPsych -0.27445 1.08682 -0.25
## rxHTN 2.75393 1.00301 2.75
## rxDiabetes 0.64601 1.61108 0.40
## rxHypercholesterolemia -1.06125 1.36025 -0.78
## SmokingCurr 0.19902 0.96608 0.21
## AlcoholCurr 1.37983 0.78155 1.77
## IllicitDrugCurr 2.52950 1.06494 2.38
## Gini100C:MedianHouseholdIncome2C 0.03711 0.12588 0.29
## Gini100C:Race -0.07064 0.17719 -0.40
## MedianHouseholdIncome2C:Race -0.25551 0.95057 -0.27
## MedianHouseholdIncome2C:I(Gini100C^2) 0.00498 0.00939 0.53
## Race:I(Gini100C^2) 0.01813 0.02225 0.82
## Gini100C:MedianHouseholdIncome2C:Race -0.19220 0.17049 -1.13
## Pr(>|t|)
## (Intercept) < 2e-16
## Gini100C 0.2583
## MedianHouseholdIncome2C 0.6709
## Race 0.0643
## I(Gini100C^2) 0.0353
## Age0 < 2e-16
## Sex 0.0000019
## HseHldEducationDich 0.0783
## PovStat 0.0431
## CVDclusterdich 0.9916
## DMMclusterdich 0.5816
## PhysBMI < 2e-16
## rxPsych 0.8007
## rxHTN 0.0061
## rxDiabetes 0.6885
## rxHypercholesterolemia 0.4354
## SmokingCurr 0.8368
## AlcoholCurr 0.0776
## IllicitDrugCurr 0.0176
## Gini100C:MedianHouseholdIncome2C 0.7682
## Gini100C:Race 0.6902
## MedianHouseholdIncome2C:Race 0.7881
## MedianHouseholdIncome2C:I(Gini100C^2) 0.5959
## Race:I(Gini100C^2) 0.4151
## Gini100C:MedianHouseholdIncome2C:Race 0.2598
##
## Residual standard error: 15.8 on 1866 degrees of freedom
## Multiple R-squared: 0.183, Adjusted R-squared: 0.173
## F-statistic: 17.4 on 24 and 1866 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 2 : MedianHouseholdIncome2C:I(Gini100C^2)
## --------
##
## -------------STEP 3 -------------
##
## Call:
## lm(formula = PhysMeanSBPsitimp ~ Gini100C + MedianHouseholdIncome2C +
## Race + I(Gini100C^2) + Age0 + Sex + HseHldEducationDich +
## PovStat + CVDclusterdich + DMMclusterdich + PhysBMI + rxPsych +
## rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr +
## AlcoholCurr + IllicitDrugCurr + Gini100C:MedianHouseholdIncome2C +
## Gini100C:Race + MedianHouseholdIncome2C:Race + Race:I(Gini100C^2) +
## Gini100C:MedianHouseholdIncome2C:Race, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -41.73 -10.50 -1.88 8.93 63.74
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 73.5312 3.0069 24.45 < 2e-16
## Gini100C 0.1374 0.1264 1.09 0.2773
## MedianHouseholdIncome2C 0.5794 0.7217 0.80 0.4222
## Race 2.3133 1.1061 2.09 0.0366
## I(Gini100C^2) -0.0264 0.0129 -2.04 0.0415
## Age0 0.5754 0.0441 13.04 < 2e-16
## Sex 3.6618 0.7672 4.77 0.000002
## HseHldEducationDich -1.4627 0.8293 -1.76 0.0779
## PovStat 1.6248 0.8055 2.02 0.0438
## CVDclusterdich 0.0180 2.0020 0.01 0.9928
## DMMclusterdich -0.5442 0.9894 -0.55 0.5824
## PhysBMI 0.5159 0.0522 9.88 < 2e-16
## rxPsych -0.2922 1.0861 -0.27 0.7880
## rxHTN 2.7698 1.0024 2.76 0.0058
## rxDiabetes 0.6221 1.6101 0.39 0.6993
## rxHypercholesterolemia -1.0570 1.3600 -0.78 0.4371
## SmokingCurr 0.1787 0.9651 0.19 0.8531
## AlcoholCurr 1.4008 0.7804 1.80 0.0728
## IllicitDrugCurr 2.5121 1.0642 2.36 0.0184
## Gini100C:MedianHouseholdIncome2C 0.0512 0.1230 0.42 0.6772
## Gini100C:Race -0.0773 0.1767 -0.44 0.6620
## MedianHouseholdIncome2C:Race -0.3494 0.9337 -0.37 0.7083
## Race:I(Gini100C^2) 0.0124 0.0195 0.64 0.5235
## Gini100C:MedianHouseholdIncome2C:Race -0.1942 0.1704 -1.14 0.2546
##
## Residual standard error: 15.8 on 1867 degrees of freedom
## Multiple R-squared: 0.183, Adjusted R-squared: 0.173
## F-statistic: 18.2 on 23 and 1867 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 3 : Race:I(Gini100C^2)
## --------
##
## -------------STEP 4 -------------
##
## Call:
## lm(formula = PhysMeanSBPsitimp ~ Gini100C + MedianHouseholdIncome2C +
## Race + I(Gini100C^2) + Age0 + Sex + HseHldEducationDich +
## PovStat + CVDclusterdich + DMMclusterdich + PhysBMI + rxPsych +
## rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr +
## AlcoholCurr + IllicitDrugCurr + Gini100C:MedianHouseholdIncome2C +
## Gini100C:Race + MedianHouseholdIncome2C:Race + Gini100C:MedianHouseholdIncome2C:Race,
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -41.39 -10.47 -1.87 8.93 63.68
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 73.22734 2.96845 24.67
## Gini100C 0.10510 0.11584 0.91
## MedianHouseholdIncome2C 0.51459 0.71437 0.72
## Race 2.73717 0.88427 3.10
## I(Gini100C^2) -0.02090 0.00965 -2.17
## Age0 0.57573 0.04410 13.05
## Sex 3.68544 0.76621 4.81
## HseHldEducationDich -1.49512 0.82764 -1.81
## PovStat 1.60072 0.80446 1.99
## CVDclusterdich 0.02538 2.00163 0.01
## DMMclusterdich -0.49575 0.98634 -0.50
## PhysBMI 0.51640 0.05220 9.89
## rxPsych -0.25558 1.08441 -0.24
## rxHTN 2.76316 1.00216 2.76
## rxDiabetes 0.57013 1.60782 0.35
## rxHypercholesterolemia -1.05410 1.35974 -0.78
## SmokingCurr 0.17144 0.96491 0.18
## AlcoholCurr 1.42117 0.77963 1.82
## IllicitDrugCurr 2.53457 1.06348 2.38
## Gini100C:MedianHouseholdIncome2C 0.04613 0.12274 0.38
## Gini100C:Race -0.00490 0.13550 -0.04
## MedianHouseholdIncome2C:Race -0.15529 0.88264 -0.18
## Gini100C:MedianHouseholdIncome2C:Race -0.23058 0.16057 -1.44
## Pr(>|t|)
## (Intercept) < 2e-16
## Gini100C 0.3644
## MedianHouseholdIncome2C 0.4714
## Race 0.0020
## I(Gini100C^2) 0.0305
## Age0 < 2e-16
## Sex 0.0000016
## HseHldEducationDich 0.0710
## PovStat 0.0468
## CVDclusterdich 0.9899
## DMMclusterdich 0.6153
## PhysBMI < 2e-16
## rxPsych 0.8137
## rxHTN 0.0059
## rxDiabetes 0.7229
## rxHypercholesterolemia 0.4383
## SmokingCurr 0.8590
## AlcoholCurr 0.0685
## IllicitDrugCurr 0.0173
## Gini100C:MedianHouseholdIncome2C 0.7071
## Gini100C:Race 0.9711
## MedianHouseholdIncome2C:Race 0.8604
## Gini100C:MedianHouseholdIncome2C:Race 0.1512
##
## Residual standard error: 15.8 on 1868 degrees of freedom
## Multiple R-squared: 0.183, Adjusted R-squared: 0.173
## F-statistic: 19 on 22 and 1868 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 4 : Gini100C:MedianHouseholdIncome2C:Race
## --------
##
## -------------STEP 5 -------------
##
## Call:
## lm(formula = PhysMeanSBPsitimp ~ Gini100C + MedianHouseholdIncome2C +
## Race + I(Gini100C^2) + Age0 + Sex + HseHldEducationDich +
## PovStat + CVDclusterdich + DMMclusterdich + PhysBMI + rxPsych +
## rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr +
## AlcoholCurr + IllicitDrugCurr + Gini100C:MedianHouseholdIncome2C +
## Gini100C:Race + MedianHouseholdIncome2C:Race, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -40.94 -10.53 -1.95 8.81 62.77
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 73.0966 2.9679 24.63 < 2e-16
## Gini100C 0.1240 0.1151 1.08 0.28138
## MedianHouseholdIncome2C -0.0928 0.5758 -0.16 0.87195
## Race 2.9686 0.8697 3.41 0.00066
## I(Gini100C^2) -0.0152 0.0088 -1.73 0.08432
## Age0 0.5728 0.0441 13.00 < 2e-16
## Sex 3.6971 0.7664 4.82 0.0000015
## HseHldEducationDich -1.4737 0.8277 -1.78 0.07518
## PovStat 1.6315 0.8044 2.03 0.04268
## CVDclusterdich 0.0686 2.0020 0.03 0.97268
## DMMclusterdich -0.4936 0.9866 -0.50 0.61692
## PhysBMI 0.5163 0.0522 9.89 < 2e-16
## rxPsych -0.2061 1.0842 -0.19 0.84926
## rxHTN 2.7529 1.0024 2.75 0.00609
## rxDiabetes 0.5932 1.6082 0.37 0.71226
## rxHypercholesterolemia -0.9994 1.3596 -0.74 0.46238
## SmokingCurr 0.1302 0.9648 0.13 0.89269
## AlcoholCurr 1.4396 0.7797 1.85 0.06502
## IllicitDrugCurr 2.5809 1.0633 2.43 0.01531
## Gini100C:MedianHouseholdIncome2C -0.0933 0.0751 -1.24 0.21406
## Gini100C:Race -0.0339 0.1340 -0.25 0.80026
## MedianHouseholdIncome2C:Race 0.2637 0.8333 0.32 0.75165
##
## Residual standard error: 15.8 on 1869 degrees of freedom
## Multiple R-squared: 0.182, Adjusted R-squared: 0.173
## F-statistic: 19.8 on 21 and 1869 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 5 : Gini100C:Race
## --------
##
## -------------STEP 6 -------------
##
## Call:
## lm(formula = PhysMeanSBPsitimp ~ Gini100C + MedianHouseholdIncome2C +
## Race + I(Gini100C^2) + Age0 + Sex + HseHldEducationDich +
## PovStat + CVDclusterdich + DMMclusterdich + PhysBMI + rxPsych +
## rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr +
## AlcoholCurr + IllicitDrugCurr + Gini100C:MedianHouseholdIncome2C +
## MedianHouseholdIncome2C:Race, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -41.01 -10.52 -1.95 8.82 62.70
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 73.12657 2.96479 24.67 < 2e-16
## Gini100C 0.10478 0.08633 1.21 0.2250
## MedianHouseholdIncome2C -0.08364 0.57455 -0.15 0.8843
## Race 3.00100 0.86002 3.49 0.0005
## I(Gini100C^2) -0.01503 0.00877 -1.71 0.0868
## Age0 0.57229 0.04401 13.00 < 2e-16
## Sex 3.68973 0.76564 4.82 0.0000016
## HseHldEducationDich -1.46607 0.82698 -1.77 0.0764
## PovStat 1.59972 0.79433 2.01 0.0442
## CVDclusterdich 0.06544 2.00144 0.03 0.9739
## DMMclusterdich -0.48501 0.98578 -0.49 0.6228
## PhysBMI 0.51536 0.05207 9.90 < 2e-16
## rxPsych -0.20640 1.08390 -0.19 0.8490
## rxHTN 2.76359 1.00128 2.76 0.0058
## rxDiabetes 0.57840 1.60673 0.36 0.7189
## rxHypercholesterolemia -0.99558 1.35917 -0.73 0.4640
## SmokingCurr 0.13718 0.96412 0.14 0.8869
## AlcoholCurr 1.44554 0.77919 1.86 0.0637
## IllicitDrugCurr 2.57441 1.06272 2.42 0.0155
## Gini100C:MedianHouseholdIncome2C -0.08606 0.06937 -1.24 0.2149
## MedianHouseholdIncome2C:Race 0.27807 0.83111 0.33 0.7380
##
## Residual standard error: 15.8 on 1870 degrees of freedom
## Multiple R-squared: 0.182, Adjusted R-squared: 0.173
## F-statistic: 20.8 on 20 and 1870 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 6 : MedianHouseholdIncome2C:Race
## --------
##
## -------------STEP 7 -------------
##
## Call:
## lm(formula = PhysMeanSBPsitimp ~ Gini100C + MedianHouseholdIncome2C +
## Race + I(Gini100C^2) + Age0 + Sex + HseHldEducationDich +
## PovStat + CVDclusterdich + DMMclusterdich + PhysBMI + rxPsych +
## rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr +
## AlcoholCurr + IllicitDrugCurr + Gini100C:MedianHouseholdIncome2C,
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -40.95 -10.56 -1.98 8.85 62.74
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 72.99745 2.93886 24.84 < 2e-16
## Gini100C 0.09770 0.08368 1.17 0.24311
## MedianHouseholdIncome2C 0.06281 0.37204 0.17 0.86594
## Race 3.07505 0.83085 3.70 0.00022
## I(Gini100C^2) -0.01433 0.00851 -1.68 0.09260
## Age0 0.57224 0.04400 13.01 < 2e-16
## Sex 3.69144 0.76545 4.82 0.0000015
## HseHldEducationDich -1.46522 0.82678 -1.77 0.07652
## PovStat 1.61819 0.79222 2.04 0.04123
## CVDclusterdich 0.07405 2.00080 0.04 0.97048
## DMMclusterdich -0.48014 0.98544 -0.49 0.62615
## PhysBMI 0.51678 0.05189 9.96 < 2e-16
## rxPsych -0.21282 1.08347 -0.20 0.84430
## rxHTN 2.75901 1.00095 2.76 0.00590
## rxDiabetes 0.57284 1.60626 0.36 0.72141
## rxHypercholesterolemia -1.00409 1.35861 -0.74 0.45997
## SmokingCurr 0.12984 0.96364 0.13 0.89283
## AlcoholCurr 1.44226 0.77894 1.85 0.06425
## IllicitDrugCurr 2.57814 1.06240 2.43 0.01533
## Gini100C:MedianHouseholdIncome2C -0.07271 0.05674 -1.28 0.20015
##
## Residual standard error: 15.8 on 1871 degrees of freedom
## Multiple R-squared: 0.182, Adjusted R-squared: 0.174
## F-statistic: 21.9 on 19 and 1871 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 7 : Gini100C:MedianHouseholdIncome2C
## --------
##
## -------------STEP 8 -------------
##
## Call:
## lm(formula = PhysMeanSBPsitimp ~ Gini100C + MedianHouseholdIncome2C +
## Race + I(Gini100C^2) + Age0 + Sex + HseHldEducationDich +
## PovStat + CVDclusterdich + DMMclusterdich + PhysBMI + rxPsych +
## rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr +
## AlcoholCurr + IllicitDrugCurr, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -40.31 -10.32 -2.03 9.08 63.91
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 72.96873 2.93928 24.83 < 2e-16
## Gini100C 0.07454 0.08172 0.91 0.3618
## MedianHouseholdIncome2C 0.10335 0.37075 0.28 0.7805
## Race 3.24331 0.82056 3.95 0.0000802
## I(Gini100C^2) -0.00978 0.00774 -1.26 0.2067
## Age0 0.57326 0.04400 13.03 < 2e-16
## Sex 3.71776 0.76530 4.86 0.0000013
## HseHldEducationDich -1.56740 0.82307 -1.90 0.0570
## PovStat 1.64198 0.79214 2.07 0.0383
## CVDclusterdich 0.09386 2.00108 0.05 0.9626
## DMMclusterdich -0.44366 0.98520 -0.45 0.6525
## PhysBMI 0.51491 0.05188 9.93 < 2e-16
## rxPsych -0.20611 1.08365 -0.19 0.8492
## rxHTN 2.79244 1.00079 2.79 0.0053
## rxDiabetes 0.52504 1.60610 0.33 0.7438
## rxHypercholesterolemia -0.99893 1.35884 -0.74 0.4623
## SmokingCurr 0.14243 0.96376 0.15 0.8825
## AlcoholCurr 1.39344 0.77814 1.79 0.0735
## IllicitDrugCurr 2.58318 1.06258 2.43 0.0151
##
## Residual standard error: 15.8 on 1872 degrees of freedom
## Multiple R-squared: 0.181, Adjusted R-squared: 0.173
## F-statistic: 23 on 18 and 1872 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 8 : I(Gini100C^2)
## --------
##
## -------------STEP 9 -------------
##
## Call:
## lm(formula = PhysMeanSBPsitimp ~ Gini100C + MedianHouseholdIncome2C +
## Race + Age0 + Sex + HseHldEducationDich + PovStat + CVDclusterdich +
## DMMclusterdich + PhysBMI + rxPsych + rxHTN + rxDiabetes +
## rxHypercholesterolemia + SmokingCurr + AlcoholCurr + IllicitDrugCurr,
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -41.66 -10.34 -2.02 9.13 63.96
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 72.49050 2.91526 24.87 < 2e-16
## Gini100C 0.00362 0.05938 0.06 0.9514
## MedianHouseholdIncome2C 0.02035 0.36494 0.06 0.9555
## Race 3.37234 0.81430 4.14 0.0000361
## Age0 0.57242 0.04400 13.01 < 2e-16
## Sex 3.66620 0.76433 4.80 0.0000017
## HseHldEducationDich -1.61826 0.82221 -1.97 0.0492
## PovStat 1.59748 0.79148 2.02 0.0437
## CVDclusterdich -0.02547 1.99917 -0.01 0.9898
## DMMclusterdich -0.51091 0.98392 -0.52 0.6036
## PhysBMI 0.51949 0.05176 10.04 < 2e-16
## rxPsych -0.27369 1.08250 -0.25 0.8004
## rxHTN 2.82086 1.00069 2.82 0.0049
## rxDiabetes 0.62450 1.60443 0.39 0.6971
## rxHypercholesterolemia -1.02005 1.35895 -0.75 0.4530
## SmokingCurr 0.14665 0.96390 0.15 0.8791
## AlcoholCurr 1.38557 0.77824 1.78 0.0752
## IllicitDrugCurr 2.49823 1.06062 2.36 0.0186
##
## Residual standard error: 15.8 on 1873 degrees of freedom
## Multiple R-squared: 0.18, Adjusted R-squared: 0.173
## F-statistic: 24.3 on 17 and 1873 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 9 : Gini100C
## --------
## Warning: All variables have been thrown out of the model.
## No model could be specified.
## ***************** END Backward Elimination: PhysMeanSBPsitimp *****************************
##
##
## ************************************************************
## ************************************************************
## BEGIN: PhysMeanDBPsitimp
## ************************************************************
## ************************************************************
## -------------STEP 1 -------------
##
## Call:
## lm(formula = "PhysMeanDBPsitimp ~ Gini100C*MedianHouseholdIncome2C*Race + I(Gini100C^2)*MedianHouseholdIncome2C*Race + Age0 + Sex + Race + HseHldEducationDich + PovStat + CVDclusterdich + DMMclusterdich + PhysBMI + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C",
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -33.14 -7.53 -0.15 7.06 39.14
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 58.473964 1.960362 29.83
## Gini100C 0.014065 0.083351 0.17
## MedianHouseholdIncome2C 0.549241 0.679015 0.81
## Race 0.495947 0.751276 0.66
## I(Gini100C^2) -0.017759 0.009452 -1.88
## Age0 0.085992 0.028737 2.99
## Sex 4.081675 0.499339 8.17
## HseHldEducationDich -0.491302 0.539919 -0.91
## PovStat 0.980443 0.524172 1.87
## CVDclusterdich -0.427753 1.302636 -0.33
## DMMclusterdich -0.540688 0.643812 -0.84
## PhysBMI 0.251246 0.033976 7.39
## rxPsych 0.315944 0.707091 0.45
## rxHTN 2.518010 0.652896 3.86
## rxDiabetes -2.768403 1.048132 -2.64
## rxHypercholesterolemia -1.876991 0.884931 -2.12
## SmokingCurr 0.821722 0.628672 1.31
## AlcoholCurr 0.977131 0.508824 1.92
## IllicitDrugCurr 0.709294 0.692979 1.02
## Gini100C:MedianHouseholdIncome2C 0.137843 0.086025 1.60
## Gini100C:Race 0.038702 0.117252 0.33
## MedianHouseholdIncome2C:Race -0.672637 0.804809 -0.84
## MedianHouseholdIncome2C:I(Gini100C^2) 0.001469 0.010931 0.13
## Race:I(Gini100C^2) 0.005615 0.014479 0.39
## Gini100C:MedianHouseholdIncome2C:Race -0.264984 0.116744 -2.27
## MedianHouseholdIncome2C:Race:I(Gini100C^2) 0.000607 0.013189 0.05
## Pr(>|t|)
## (Intercept) < 2e-16
## Gini100C 0.86601
## MedianHouseholdIncome2C 0.41869
## Race 0.50925
## I(Gini100C^2) 0.06044
## Age0 0.00280
## Sex 5.4e-16
## HseHldEducationDich 0.36296
## PovStat 0.06158
## CVDclusterdich 0.74266
## DMMclusterdich 0.40112
## PhysBMI 2.1e-13
## rxPsych 0.65506
## rxHTN 0.00012
## rxDiabetes 0.00833
## rxHypercholesterolemia 0.03405
## SmokingCurr 0.19135
## AlcoholCurr 0.05496
## IllicitDrugCurr 0.30618
## Gini100C:MedianHouseholdIncome2C 0.10925
## Gini100C:Race 0.74138
## MedianHouseholdIncome2C:Race 0.40339
## MedianHouseholdIncome2C:I(Gini100C^2) 0.89315
## Race:I(Gini100C^2) 0.69818
## Gini100C:MedianHouseholdIncome2C:Race 0.02333
## MedianHouseholdIncome2C:Race:I(Gini100C^2) 0.96333
##
## Residual standard error: 10.3 on 1865 degrees of freedom
## Multiple R-squared: 0.0881, Adjusted R-squared: 0.0759
## F-statistic: 7.21 on 25 and 1865 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 1 : MedianHouseholdIncome2C:Race:I(Gini100C^2)
## --------
##
## -------------STEP 2 -------------
##
## Call:
## lm(formula = PhysMeanDBPsitimp ~ Gini100C + MedianHouseholdIncome2C +
## Race + I(Gini100C^2) + Age0 + Sex + HseHldEducationDich +
## PovStat + CVDclusterdich + DMMclusterdich + PhysBMI + rxPsych +
## rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr +
## AlcoholCurr + IllicitDrugCurr + Gini100C:MedianHouseholdIncome2C +
## Gini100C:Race + MedianHouseholdIncome2C:Race + MedianHouseholdIncome2C:I(Gini100C^2) +
## Race:I(Gini100C^2) + Gini100C:MedianHouseholdIncome2C:Race,
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -33.14 -7.53 -0.16 7.07 39.15
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 58.47953 1.95609 29.90 < 2e-16
## Gini100C 0.01457 0.08261 0.18 0.86003
## MedianHouseholdIncome2C 0.53056 0.54388 0.98 0.32944
## Race 0.49629 0.75104 0.66 0.50882
## I(Gini100C^2) -0.01792 0.00875 -2.05 0.04072
## Age0 0.08594 0.02871 2.99 0.00279
## Sex 4.08216 0.49910 8.18 5.2e-16
## HseHldEducationDich -0.49047 0.53947 -0.91 0.36338
## PovStat 0.98069 0.52400 1.87 0.06143
## CVDclusterdich -0.42757 1.30228 -0.33 0.74270
## DMMclusterdich -0.54039 0.64361 -0.84 0.40123
## PhysBMI 0.25123 0.03396 7.40 2.1e-13
## rxPsych 0.31639 0.70683 0.45 0.65448
## rxHTN 2.51905 0.65233 3.86 0.00012
## rxDiabetes -2.76791 1.04780 -2.64 0.00832
## rxHypercholesterolemia -1.87665 0.88466 -2.12 0.03403
## SmokingCurr 0.82099 0.62830 1.31 0.19148
## AlcoholCurr 0.97805 0.50830 1.92 0.05449
## IllicitDrugCurr 0.70855 0.69260 1.02 0.30643
## Gini100C:MedianHouseholdIncome2C 0.13663 0.08187 1.67 0.09530
## Gini100C:Race 0.03771 0.11524 0.33 0.74350
## MedianHouseholdIncome2C:Race -0.64895 0.61822 -1.05 0.29399
## MedianHouseholdIncome2C:I(Gini100C^2) 0.00189 0.00610 0.31 0.75745
## Race:I(Gini100C^2) 0.00564 0.01447 0.39 0.69697
## Gini100C:MedianHouseholdIncome2C:Race -0.26331 0.11088 -2.37 0.01767
##
## Residual standard error: 10.3 on 1866 degrees of freedom
## Multiple R-squared: 0.0881, Adjusted R-squared: 0.0764
## F-statistic: 7.51 on 24 and 1866 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 2 : MedianHouseholdIncome2C:I(Gini100C^2)
## --------
##
## -------------STEP 3 -------------
##
## Call:
## lm(formula = PhysMeanDBPsitimp ~ Gini100C + MedianHouseholdIncome2C +
## Race + I(Gini100C^2) + Age0 + Sex + HseHldEducationDich +
## PovStat + CVDclusterdich + DMMclusterdich + PhysBMI + rxPsych +
## rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr +
## AlcoholCurr + IllicitDrugCurr + Gini100C:MedianHouseholdIncome2C +
## Gini100C:Race + MedianHouseholdIncome2C:Race + Race:I(Gini100C^2) +
## Gini100C:MedianHouseholdIncome2C:Race, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -33.06 -7.52 -0.17 7.07 39.18
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 58.47226 1.95548 29.90 < 2e-16
## Gini100C 0.01222 0.08223 0.15 0.88192
## MedianHouseholdIncome2C 0.61539 0.46932 1.31 0.18994
## Race 0.56279 0.71934 0.78 0.43409
## I(Gini100C^2) -0.01718 0.00841 -2.04 0.04129
## Age0 0.08566 0.02869 2.99 0.00287
## Sex 4.08067 0.49895 8.18 5.3e-16
## HseHldEducationDich -0.49105 0.53934 -0.91 0.36269
## PovStat 0.97841 0.52382 1.87 0.06194
## CVDclusterdich -0.42875 1.30196 -0.33 0.74195
## DMMclusterdich -0.53994 0.64345 -0.84 0.40150
## PhysBMI 0.25126 0.03396 7.40 2.1e-13
## rxPsych 0.30969 0.70633 0.44 0.66111
## rxHTN 2.52505 0.65188 3.87 0.00011
## rxDiabetes -2.77696 1.04713 -2.65 0.00807
## rxHypercholesterolemia -1.87504 0.88443 -2.12 0.03413
## SmokingCurr 0.81331 0.62766 1.30 0.19521
## AlcoholCurr 0.98600 0.50752 1.94 0.05219
## IllicitDrugCurr 0.70196 0.69211 1.01 0.31060
## Gini100C:MedianHouseholdIncome2C 0.14197 0.08000 1.77 0.07612
## Gini100C:Race 0.03521 0.11492 0.31 0.75937
## MedianHouseholdIncome2C:Race -0.68453 0.60725 -1.13 0.25978
## Race:I(Gini100C^2) 0.00347 0.01265 0.27 0.78398
## Gini100C:MedianHouseholdIncome2C:Race -0.26406 0.11083 -2.38 0.01729
##
## Residual standard error: 10.3 on 1867 degrees of freedom
## Multiple R-squared: 0.0881, Adjusted R-squared: 0.0768
## F-statistic: 7.84 on 23 and 1867 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 3 : Race:I(Gini100C^2)
## --------
##
## -------------STEP 4 -------------
##
## Call:
## lm(formula = PhysMeanDBPsitimp ~ Gini100C + MedianHouseholdIncome2C +
## Race + I(Gini100C^2) + Age0 + Sex + HseHldEducationDich +
## PovStat + CVDclusterdich + DMMclusterdich + PhysBMI + rxPsych +
## rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr +
## AlcoholCurr + IllicitDrugCurr + Gini100C:MedianHouseholdIncome2C +
## Gini100C:Race + MedianHouseholdIncome2C:Race + Gini100C:MedianHouseholdIncome2C:Race,
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -33.11 -7.54 -0.16 7.04 39.14
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 58.38734 1.93032 30.25 < 2e-16
## Gini100C 0.00319 0.07533 0.04 0.96628
## MedianHouseholdIncome2C 0.59728 0.46454 1.29 0.19869
## Race 0.68124 0.57502 1.18 0.23627
## I(Gini100C^2) -0.01564 0.00628 -2.49 0.01277
## Age0 0.08575 0.02868 2.99 0.00283
## Sex 4.08727 0.49825 8.20 4.3e-16
## HseHldEducationDich -0.50009 0.53819 -0.93 0.35290
## PovStat 0.97169 0.52312 1.86 0.06340
## CVDclusterdich -0.42670 1.30162 -0.33 0.74308
## DMMclusterdich -0.52640 0.64139 -0.82 0.41191
## PhysBMI 0.25140 0.03394 7.41 2.0e-13
## rxPsych 0.31991 0.70517 0.45 0.65012
## rxHTN 2.52320 0.65168 3.87 0.00011
## rxDiabetes -2.79148 1.04553 -2.67 0.00765
## rxHypercholesterolemia -1.87423 0.88421 -2.12 0.03417
## SmokingCurr 0.81127 0.62746 1.29 0.19619
## AlcoholCurr 0.99169 0.50697 1.96 0.05060
## IllicitDrugCurr 0.70824 0.69156 1.02 0.30591
## Gini100C:MedianHouseholdIncome2C 0.14055 0.07981 1.76 0.07840
## Gini100C:Race 0.05543 0.08812 0.63 0.52941
## MedianHouseholdIncome2C:Race -0.63027 0.57396 -1.10 0.27230
## Gini100C:MedianHouseholdIncome2C:Race -0.27423 0.10442 -2.63 0.00870
##
## Residual standard error: 10.3 on 1868 degrees of freedom
## Multiple R-squared: 0.088, Adjusted R-squared: 0.0773
## F-statistic: 8.19 on 22 and 1868 DF, p-value: <2e-16
##
## ***************** END Backward Elimination: PhysMeanDBPsitimp *****************************
##
##
## ************************************************************
## ************************************************************
## BEGIN: LabResGlucoseimp
## ************************************************************
## ************************************************************
## -------------STEP 1 -------------
##
## Call:
## lm(formula = "LabResGlucoseimp ~ Gini100C*MedianHouseholdIncome2C*Race + I(Gini100C^2)*MedianHouseholdIncome2C*Race + Age0 + Sex + Race + HseHldEducationDich + PovStat + CVDclusterdich + DMMclusterdich + PhysBMI + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C",
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -133.0 -11.5 -3.7 4.4 390.6
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 67.07754 6.45736 10.39
## Gini100C -0.52508 0.27456 -1.91
## MedianHouseholdIncome2C -3.09270 2.23665 -1.38
## Race -2.34222 2.47468 -0.95
## I(Gini100C^2) 0.00776 0.03114 0.25
## Age0 0.20598 0.09466 2.18
## Sex 5.47961 1.64480 3.33
## HseHldEducationDich -1.14831 1.77847 -0.65
## PovStat 2.28435 1.72660 1.32
## CVDclusterdich -3.62789 4.29083 -0.85
## DMMclusterdich 7.49501 2.12069 3.53
## PhysBMI 0.63409 0.11191 5.67
## rxPsych -7.42743 2.32913 -3.19
## rxHTN 3.86858 2.15061 1.80
## rxDiabetes 62.67212 3.45250 18.15
## rxHypercholesterolemia -5.31258 2.91493 -1.82
## SmokingCurr 1.39142 2.07082 0.67
## AlcoholCurr 2.02095 1.67605 1.21
## IllicitDrugCurr -2.67900 2.28265 -1.17
## Gini100C:MedianHouseholdIncome2C -0.01698 0.28336 -0.06
## Gini100C:Race 0.79438 0.38623 2.06
## MedianHouseholdIncome2C:Race 5.12692 2.65101 1.93
## MedianHouseholdIncome2C:I(Gini100C^2) 0.03638 0.03601 1.01
## Race:I(Gini100C^2) -0.05762 0.04769 -1.21
## Gini100C:MedianHouseholdIncome2C:Race -0.10807 0.38455 -0.28
## MedianHouseholdIncome2C:Race:I(Gini100C^2) -0.04755 0.04344 -1.09
## Pr(>|t|)
## (Intercept) < 2e-16
## Gini100C 0.05597
## MedianHouseholdIncome2C 0.16691
## Race 0.34403
## I(Gini100C^2) 0.80323
## Age0 0.02968
## Sex 0.00088
## HseHldEducationDich 0.51857
## PovStat 0.18599
## CVDclusterdich 0.39794
## DMMclusterdich 0.00042
## PhysBMI 0.000000017
## rxPsych 0.00145
## rxHTN 0.07221
## rxDiabetes < 2e-16
## rxHypercholesterolemia 0.06853
## SmokingCurr 0.50172
## AlcoholCurr 0.22805
## IllicitDrugCurr 0.24069
## Gini100C:MedianHouseholdIncome2C 0.95222
## Gini100C:Race 0.03985
## MedianHouseholdIncome2C:Race 0.05327
## MedianHouseholdIncome2C:I(Gini100C^2) 0.31243
## Race:I(Gini100C^2) 0.22716
## Gini100C:MedianHouseholdIncome2C:Race 0.77873
## MedianHouseholdIncome2C:Race:I(Gini100C^2) 0.27393
##
## Residual standard error: 33.9 on 1865 degrees of freedom
## Multiple R-squared: 0.294, Adjusted R-squared: 0.285
## F-statistic: 31.1 on 25 and 1865 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 1 : MedianHouseholdIncome2C:Race:I(Gini100C^2)
## --------
##
## -------------STEP 2 -------------
##
## Call:
## lm(formula = LabResGlucoseimp ~ Gini100C + MedianHouseholdIncome2C +
## Race + I(Gini100C^2) + Age0 + Sex + HseHldEducationDich +
## PovStat + CVDclusterdich + DMMclusterdich + PhysBMI + rxPsych +
## rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr +
## AlcoholCurr + IllicitDrugCurr + Gini100C:MedianHouseholdIncome2C +
## Gini100C:Race + MedianHouseholdIncome2C:Race + MedianHouseholdIncome2C:I(Gini100C^2) +
## Race:I(Gini100C^2) + Gini100C:MedianHouseholdIncome2C:Race,
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -133.1 -11.5 -3.5 4.5 390.6
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 66.6409 6.4454 10.34
## Gini100C -0.5646 0.2722 -2.07
## MedianHouseholdIncome2C -1.6280 1.7921 -0.91
## Race -2.3692 2.4747 -0.96
## I(Gini100C^2) 0.0206 0.0288 0.71
## Age0 0.2097 0.0946 2.22
## Sex 5.4417 1.6445 3.31
## HseHldEducationDich -1.2136 1.7776 -0.68
## PovStat 2.2647 1.7266 1.31
## CVDclusterdich -3.6421 4.2910 -0.85
## DMMclusterdich 7.4715 2.1207 3.52
## PhysBMI 0.6356 0.1119 5.68
## rxPsych -7.4628 2.3290 -3.20
## rxHTN 3.7868 2.1494 1.76
## rxDiabetes 62.6332 3.4525 18.14
## rxHypercholesterolemia -5.3395 2.9150 -1.83
## SmokingCurr 1.4486 2.0703 0.70
## AlcoholCurr 1.9491 1.6748 1.16
## IllicitDrugCurr -2.6206 2.2821 -1.15
## Gini100C:MedianHouseholdIncome2C 0.0780 0.2698 0.29
## Gini100C:Race 0.8718 0.3797 2.30
## MedianHouseholdIncome2C:Race 3.2701 2.0370 1.61
## MedianHouseholdIncome2C:I(Gini100C^2) 0.0037 0.0201 0.18
## Race:I(Gini100C^2) -0.0592 0.0477 -1.24
## Gini100C:MedianHouseholdIncome2C:Race -0.2394 0.3654 -0.66
## Pr(>|t|)
## (Intercept) < 2e-16
## Gini100C 0.03820
## MedianHouseholdIncome2C 0.36377
## Race 0.33850
## I(Gini100C^2) 0.47489
## Age0 0.02673
## Sex 0.00095
## HseHldEducationDich 0.49485
## PovStat 0.18980
## CVDclusterdich 0.39612
## DMMclusterdich 0.00044
## PhysBMI 0.000000016
## rxPsych 0.00138
## rxHTN 0.07827
## rxDiabetes < 2e-16
## rxHypercholesterolemia 0.06715
## SmokingCurr 0.48419
## AlcoholCurr 0.24467
## IllicitDrugCurr 0.25099
## Gini100C:MedianHouseholdIncome2C 0.77250
## Gini100C:Race 0.02178
## MedianHouseholdIncome2C:Race 0.10859
## MedianHouseholdIncome2C:I(Gini100C^2) 0.85419
## Race:I(Gini100C^2) 0.21481
## Gini100C:MedianHouseholdIncome2C:Race 0.51236
##
## Residual standard error: 33.9 on 1866 degrees of freedom
## Multiple R-squared: 0.294, Adjusted R-squared: 0.285
## F-statistic: 32.3 on 24 and 1866 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 2 : MedianHouseholdIncome2C:I(Gini100C^2)
## --------
##
## -------------STEP 3 -------------
##
## Call:
## lm(formula = LabResGlucoseimp ~ Gini100C + MedianHouseholdIncome2C +
## Race + I(Gini100C^2) + Age0 + Sex + HseHldEducationDich +
## PovStat + CVDclusterdich + DMMclusterdich + PhysBMI + rxPsych +
## rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr +
## AlcoholCurr + IllicitDrugCurr + Gini100C:MedianHouseholdIncome2C +
## Gini100C:Race + MedianHouseholdIncome2C:Race + Race:I(Gini100C^2) +
## Gini100C:MedianHouseholdIncome2C:Race, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -133.0 -11.5 -3.5 4.5 390.6
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 66.6266 6.4432 10.34
## Gini100C -0.5692 0.2710 -2.10
## MedianHouseholdIncome2C -1.4617 1.5464 -0.95
## Race -2.2388 2.3702 -0.94
## I(Gini100C^2) 0.0221 0.0277 0.80
## Age0 0.2092 0.0945 2.21
## Sex 5.4388 1.6440 3.31
## HseHldEducationDich -1.2148 1.7771 -0.68
## PovStat 2.2602 1.7260 1.31
## CVDclusterdich -3.6444 4.2899 -0.85
## DMMclusterdich 7.4724 2.1201 3.52
## PhysBMI 0.6356 0.1119 5.68
## rxPsych -7.4759 2.3273 -3.21
## rxHTN 3.7986 2.1479 1.77
## rxDiabetes 62.6154 3.4503 18.15
## rxHypercholesterolemia -5.3364 2.9142 -1.83
## SmokingCurr 1.4335 2.0681 0.69
## AlcoholCurr 1.9647 1.6723 1.17
## IllicitDrugCurr -2.6335 2.2805 -1.15
## Gini100C:MedianHouseholdIncome2C 0.0885 0.2636 0.34
## Gini100C:Race 0.8669 0.3787 2.29
## MedianHouseholdIncome2C:Race 3.2003 2.0008 1.60
## Race:I(Gini100C^2) -0.0634 0.0417 -1.52
## Gini100C:MedianHouseholdIncome2C:Race -0.2409 0.3652 -0.66
## Pr(>|t|)
## (Intercept) < 2e-16
## Gini100C 0.03581
## MedianHouseholdIncome2C 0.34468
## Race 0.34500
## I(Gini100C^2) 0.42612
## Age0 0.02702
## Sex 0.00096
## HseHldEducationDich 0.49434
## PovStat 0.19051
## CVDclusterdich 0.39569
## DMMclusterdich 0.00043
## PhysBMI 0.000000015
## rxPsych 0.00134
## rxHTN 0.07714
## rxDiabetes < 2e-16
## rxHypercholesterolemia 0.06723
## SmokingCurr 0.48829
## AlcoholCurr 0.24019
## IllicitDrugCurr 0.24831
## Gini100C:MedianHouseholdIncome2C 0.73718
## Gini100C:Race 0.02217
## MedianHouseholdIncome2C:Race 0.10988
## Race:I(Gini100C^2) 0.12846
## Gini100C:MedianHouseholdIncome2C:Race 0.50954
##
## Residual standard error: 33.9 on 1867 degrees of freedom
## Multiple R-squared: 0.294, Adjusted R-squared: 0.285
## F-statistic: 33.8 on 23 and 1867 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 3 : Gini100C:MedianHouseholdIncome2C:Race
## --------
##
## -------------STEP 4 -------------
##
## Call:
## lm(formula = LabResGlucoseimp ~ Gini100C + MedianHouseholdIncome2C +
## Race + I(Gini100C^2) + Age0 + Sex + HseHldEducationDich +
## PovStat + CVDclusterdich + DMMclusterdich + PhysBMI + rxPsych +
## rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr +
## AlcoholCurr + IllicitDrugCurr + Gini100C:MedianHouseholdIncome2C +
## Gini100C:Race + MedianHouseholdIncome2C:Race + Race:I(Gini100C^2),
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -132.5 -11.6 -3.5 4.5 390.2
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 66.7306 6.4403 10.36 < 2e-16
## Gini100C -0.5276 0.2635 -2.00 0.04539
## MedianHouseholdIncome2C -1.9772 1.3342 -1.48 0.13853
## Race -2.3383 2.3650 -0.99 0.32295
## I(Gini100C^2) 0.0233 0.0277 0.84 0.40004
## Age0 0.2062 0.0944 2.18 0.02905
## Sex 5.4321 1.6437 3.30 0.00097
## HseHldEducationDich -1.1709 1.7756 -0.66 0.50970
## PovStat 2.3067 1.7243 1.34 0.18114
## CVDclusterdich -3.6098 4.2889 -0.84 0.40009
## DMMclusterdich 7.4385 2.1192 3.51 0.00046
## PhysBMI 0.6352 0.1119 5.68 0.000000016
## rxPsych -7.4571 2.3268 -3.20 0.00137
## rxHTN 3.7940 2.1476 1.77 0.07746
## rxDiabetes 62.6754 3.4485 18.17 < 2e-16
## rxHypercholesterolemia -5.2878 2.9128 -1.82 0.06963
## SmokingCurr 1.4007 2.0672 0.68 0.49814
## AlcoholCurr 1.9667 1.6720 1.18 0.23965
## IllicitDrugCurr -2.6072 2.2798 -1.14 0.25293
## Gini100C:MedianHouseholdIncome2C -0.0371 0.1823 -0.20 0.83854
## Gini100C:Race 0.7864 0.3584 2.19 0.02834
## MedianHouseholdIncome2C:Race 3.4452 1.9658 1.75 0.07984
## Race:I(Gini100C^2) -0.0542 0.0393 -1.38 0.16779
##
## Residual standard error: 33.9 on 1868 degrees of freedom
## Multiple R-squared: 0.294, Adjusted R-squared: 0.285
## F-statistic: 35.3 on 22 and 1868 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 4 : Race:I(Gini100C^2)
## --------
##
## -------------STEP 5 -------------
##
## Call:
## lm(formula = LabResGlucoseimp ~ Gini100C + MedianHouseholdIncome2C +
## Race + I(Gini100C^2) + Age0 + Sex + HseHldEducationDich +
## PovStat + CVDclusterdich + DMMclusterdich + PhysBMI + rxPsych +
## rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr +
## AlcoholCurr + IllicitDrugCurr + Gini100C:MedianHouseholdIncome2C +
## Gini100C:Race + MedianHouseholdIncome2C:Race, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -132.6 -11.5 -3.6 4.5 390.3
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 68.14745 6.35948 10.72 < 2e-16
## Gini100C -0.39959 0.24668 -1.62 0.10543
## MedianHouseholdIncome2C -1.27575 1.23387 -1.03 0.30130
## Race -4.34846 1.86356 -2.33 0.01973
## I(Gini100C^2) -0.00464 0.01886 -0.25 0.80569
## Age0 0.20680 0.09443 2.19 0.02864
## Sex 5.32108 1.64217 3.24 0.00122
## HseHldEducationDich -1.04426 1.77364 -0.59 0.55609
## PovStat 2.39049 1.72363 1.39 0.16564
## CVDclusterdich -3.67162 4.28974 -0.86 0.39216
## DMMclusterdich 7.22548 2.11408 3.42 0.00064
## PhysBMI 0.63305 0.11188 5.66 0.000000018
## rxPsych -7.65090 2.32312 -3.29 0.00101
## rxHTN 3.82985 2.14795 1.78 0.07474
## rxDiabetes 62.88634 3.44598 18.25 < 2e-16
## rxHypercholesterolemia -5.33811 2.91328 -1.83 0.06706
## SmokingCurr 1.46096 2.06724 0.71 0.47983
## AlcoholCurr 1.86522 1.67080 1.12 0.26441
## IllicitDrugCurr -2.73721 2.27838 -1.20 0.22975
## Gini100C:MedianHouseholdIncome2C 0.08112 0.16088 0.50 0.61415
## Gini100C:Race 0.49042 0.28719 1.71 0.08787
## MedianHouseholdIncome2C:Race 2.30885 1.78544 1.29 0.19612
##
## Residual standard error: 33.9 on 1869 degrees of freedom
## Multiple R-squared: 0.293, Adjusted R-squared: 0.285
## F-statistic: 36.9 on 21 and 1869 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 5 : I(Gini100C^2)
## --------
##
## -------------STEP 6 -------------
##
## Call:
## lm(formula = LabResGlucoseimp ~ Gini100C + MedianHouseholdIncome2C +
## Race + Age0 + Sex + HseHldEducationDich + PovStat + CVDclusterdich +
## DMMclusterdich + PhysBMI + rxPsych + rxHTN + rxDiabetes +
## rxHypercholesterolemia + SmokingCurr + AlcoholCurr + IllicitDrugCurr +
## Gini100C:MedianHouseholdIncome2C + Gini100C:Race + MedianHouseholdIncome2C:Race,
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -132.6 -11.5 -3.6 4.6 390.3
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 67.9229 6.2920 10.80 < 2e-16
## Gini100C -0.4352 0.1998 -2.18 0.02956
## MedianHouseholdIncome2C -1.2427 1.2262 -1.01 0.31098
## Race -4.2401 1.8103 -2.34 0.01927
## Age0 0.2066 0.0944 2.19 0.02878
## Sex 5.3060 1.6406 3.23 0.00124
## HseHldEducationDich -1.0784 1.7678 -0.61 0.54190
## PovStat 2.3801 1.7227 1.38 0.16725
## CVDclusterdich -3.7094 4.2859 -0.87 0.38689
## DMMclusterdich 7.2100 2.1126 3.41 0.00066
## PhysBMI 0.6348 0.1116 5.69 0.000000015
## rxPsych -7.6771 2.3201 -3.31 0.00095
## rxHTN 3.8458 2.1464 1.79 0.07334
## rxDiabetes 62.9105 3.4437 18.27 < 2e-16
## rxHypercholesterolemia -5.3476 2.9123 -1.84 0.06648
## SmokingCurr 1.4629 2.0667 0.71 0.47913
## AlcoholCurr 1.8539 1.6697 1.11 0.26701
## IllicitDrugCurr -2.7672 2.2745 -1.22 0.22392
## Gini100C:MedianHouseholdIncome2C 0.0994 0.1427 0.70 0.48628
## Gini100C:Race 0.4957 0.2863 1.73 0.08357
## MedianHouseholdIncome2C:Race 2.2059 1.7353 1.27 0.20381
##
## Residual standard error: 33.9 on 1870 degrees of freedom
## Multiple R-squared: 0.293, Adjusted R-squared: 0.285
## F-statistic: 38.7 on 20 and 1870 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 6 : Gini100C:MedianHouseholdIncome2C
## --------
##
## -------------STEP 7 -------------
##
## Call:
## lm(formula = LabResGlucoseimp ~ Gini100C + MedianHouseholdIncome2C +
## Race + Age0 + Sex + HseHldEducationDich + PovStat + CVDclusterdich +
## DMMclusterdich + PhysBMI + rxPsych + rxHTN + rxDiabetes +
## rxHypercholesterolemia + SmokingCurr + AlcoholCurr + IllicitDrugCurr +
## Gini100C:Race + MedianHouseholdIncome2C:Race, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -133.6 -11.5 -3.7 4.6 390.7
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 67.8899 6.2910 10.79 < 2e-16
## Gini100C -0.3967 0.1920 -2.07 0.03897
## MedianHouseholdIncome2C -1.6489 1.0785 -1.53 0.12645
## Race -4.5277 1.7623 -2.57 0.01027
## Age0 0.2067 0.0944 2.19 0.02869
## Sex 5.2718 1.6397 3.22 0.00133
## HseHldEducationDich -1.0489 1.7670 -0.59 0.55286
## PovStat 2.3726 1.7224 1.38 0.16852
## CVDclusterdich -3.7996 4.2834 -0.89 0.37516
## DMMclusterdich 7.1162 2.1080 3.38 0.00075
## PhysBMI 0.6378 0.1115 5.72 0.000000012
## rxPsych -7.7043 2.3194 -3.32 0.00091
## rxHTN 3.8212 2.1458 1.78 0.07512
## rxDiabetes 63.0460 3.4377 18.34 < 2e-16
## rxHypercholesterolemia -5.3538 2.9119 -1.84 0.06613
## SmokingCurr 1.4551 2.0664 0.70 0.48141
## AlcoholCurr 1.8793 1.6691 1.13 0.26035
## IllicitDrugCurr -2.8097 2.2734 -1.24 0.21666
## Gini100C:Race 0.4174 0.2633 1.59 0.11305
## MedianHouseholdIncome2C:Race 2.7611 1.5411 1.79 0.07336
##
## Residual standard error: 33.9 on 1871 degrees of freedom
## Multiple R-squared: 0.293, Adjusted R-squared: 0.285
## F-statistic: 40.7 on 19 and 1871 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 7 : Gini100C:Race
## --------
##
## -------------STEP 8 -------------
##
## Call:
## lm(formula = LabResGlucoseimp ~ Gini100C + MedianHouseholdIncome2C +
## Race + Age0 + Sex + HseHldEducationDich + PovStat + CVDclusterdich +
## DMMclusterdich + PhysBMI + rxPsych + rxHTN + rxDiabetes +
## rxHypercholesterolemia + SmokingCurr + AlcoholCurr + IllicitDrugCurr +
## MedianHouseholdIncome2C:Race, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -134.3 -11.6 -3.8 4.4 389.7
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 67.3654 6.2848 10.72 < 2e-16
## Gini100C -0.1708 0.1288 -1.33 0.18487
## MedianHouseholdIncome2C -1.3710 1.0645 -1.29 0.19794
## Race -4.6653 1.7609 -2.65 0.00813
## Age0 0.2141 0.0943 2.27 0.02333
## Sex 5.4044 1.6382 3.30 0.00099
## HseHldEducationDich -1.2069 1.7649 -0.68 0.49416
## PovStat 2.8398 1.6977 1.67 0.09455
## CVDclusterdich -3.6857 4.2845 -0.86 0.38977
## DMMclusterdich 7.0735 2.1087 3.35 0.00081
## PhysBMI 0.6494 0.1113 5.83 0.0000000064
## rxPsych -7.6870 2.3204 -3.31 0.00094
## rxHTN 3.6973 2.1453 1.72 0.08497
## rxDiabetes 63.1441 3.4386 18.36 < 2e-16
## rxHypercholesterolemia -5.4090 2.9128 -1.86 0.06348
## SmokingCurr 1.3612 2.0664 0.66 0.51016
## AlcoholCurr 1.7611 1.6681 1.06 0.29123
## IllicitDrugCurr -2.6887 2.2731 -1.18 0.23701
## MedianHouseholdIncome2C:Race 1.9578 1.4560 1.34 0.17892
##
## Residual standard error: 33.9 on 1872 degrees of freedom
## Multiple R-squared: 0.292, Adjusted R-squared: 0.285
## F-statistic: 42.8 on 18 and 1872 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 8 : MedianHouseholdIncome2C:Race
## --------
##
## -------------STEP 9 -------------
##
## Call:
## lm(formula = LabResGlucoseimp ~ Gini100C + MedianHouseholdIncome2C +
## Race + Age0 + Sex + HseHldEducationDich + PovStat + CVDclusterdich +
## DMMclusterdich + PhysBMI + rxPsych + rxHTN + rxDiabetes +
## rxHypercholesterolemia + SmokingCurr + AlcoholCurr + IllicitDrugCurr,
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -133.2 -11.4 -3.8 4.3 388.7
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 66.4489 6.2491 10.63 < 2e-16
## Gini100C -0.1973 0.1273 -1.55 0.12125
## MedianHouseholdIncome2C -0.4000 0.7823 -0.51 0.60920
## Race -4.3494 1.7455 -2.49 0.01280
## Age0 0.2123 0.0943 2.25 0.02450
## Sex 5.3777 1.6384 3.28 0.00105
## HseHldEducationDich -1.0736 1.7625 -0.61 0.54252
## PovStat 2.9349 1.6966 1.73 0.08381
## CVDclusterdich -3.6618 4.2854 -0.85 0.39295
## DMMclusterdich 7.0543 2.1091 3.34 0.00084
## PhysBMI 0.6622 0.1109 5.97 0.0000000029
## rxPsych -7.7472 2.3204 -3.34 0.00086
## rxHTN 3.6245 2.1451 1.69 0.09125
## rxDiabetes 63.1760 3.4392 18.37 < 2e-16
## rxHypercholesterolemia -5.4776 2.9130 -1.88 0.06021
## SmokingCurr 1.2936 2.0662 0.63 0.53133
## AlcoholCurr 1.8004 1.6682 1.08 0.28062
## IllicitDrugCurr -2.6769 2.2735 -1.18 0.23918
##
## Residual standard error: 33.9 on 1873 degrees of freedom
## Multiple R-squared: 0.291, Adjusted R-squared: 0.285
## F-statistic: 45.2 on 17 and 1873 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 9 : Gini100C
## --------
## Warning: All variables have been thrown out of the model.
## No model could be specified.
## ***************** END Backward Elimination: LabResGlucoseimp *****************************
##
##
## ************************************************************
## ************************************************************
## BEGIN: LabResGlucoseimpsqrt
## ************************************************************
## ************************************************************
## -------------STEP 1 -------------
##
## Call:
## lm(formula = "LabResGlucoseimpsqrt ~ Gini100C*MedianHouseholdIncome2C*Race + I(Gini100C^2)*MedianHouseholdIncome2C*Race + Age0 + Sex + Race + HseHldEducationDich + PovStat + CVDclusterdich + DMMclusterdich + PhysBMI + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C",
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -6.440 -0.524 -0.143 0.259 11.276
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 8.320573 0.247481 33.62
## Gini100C -0.018159 0.010522 -1.73
## MedianHouseholdIncome2C -0.131564 0.085720 -1.53
## Race -0.118117 0.094843 -1.25
## I(Gini100C^2) 0.000124 0.001193 0.10
## Age0 0.011507 0.003628 3.17
## Sex 0.249361 0.063038 3.96
## HseHldEducationDich -0.033411 0.068161 -0.49
## PovStat 0.095777 0.066173 1.45
## CVDclusterdich -0.134363 0.164448 -0.82
## DMMclusterdich 0.293612 0.081276 3.61
## PhysBMI 0.029587 0.004289 6.90
## rxPsych -0.286663 0.089265 -3.21
## rxHTN 0.156188 0.082423 1.89
## rxDiabetes 2.420159 0.132319 18.29
## rxHypercholesterolemia -0.187157 0.111716 -1.68
## SmokingCurr 0.056268 0.079365 0.71
## AlcoholCurr 0.077714 0.064235 1.21
## IllicitDrugCurr -0.118831 0.087483 -1.36
## Gini100C:MedianHouseholdIncome2C -0.002909 0.010860 -0.27
## Gini100C:Race 0.030392 0.014802 2.05
## MedianHouseholdIncome2C:Race 0.228674 0.101601 2.25
## MedianHouseholdIncome2C:I(Gini100C^2) 0.001485 0.001380 1.08
## Race:I(Gini100C^2) -0.002125 0.001828 -1.16
## Gini100C:MedianHouseholdIncome2C:Race -0.001729 0.014738 -0.12
## MedianHouseholdIncome2C:Race:I(Gini100C^2) -0.001987 0.001665 -1.19
## Pr(>|t|)
## (Intercept) < 2e-16
## Gini100C 0.08457
## MedianHouseholdIncome2C 0.12500
## Race 0.21314
## I(Gini100C^2) 0.91698
## Age0 0.00154
## Sex 0.0000791527942
## HseHldEducationDich 0.62407
## PovStat 0.14796
## CVDclusterdich 0.41400
## DMMclusterdich 0.00031
## PhysBMI 0.0000000000072
## rxPsych 0.00134
## rxHTN 0.05825
## rxDiabetes < 2e-16
## rxHypercholesterolemia 0.09404
## SmokingCurr 0.47843
## AlcoholCurr 0.22649
## IllicitDrugCurr 0.17452
## Gini100C:MedianHouseholdIncome2C 0.78883
## Gini100C:Race 0.04019
## MedianHouseholdIncome2C:Race 0.02452
## MedianHouseholdIncome2C:I(Gini100C^2) 0.28196
## Race:I(Gini100C^2) 0.24524
## Gini100C:MedianHouseholdIncome2C:Race 0.90660
## MedianHouseholdIncome2C:Race:I(Gini100C^2) 0.23293
##
## Residual standard error: 1.3 on 1865 degrees of freedom
## Multiple R-squared: 0.314, Adjusted R-squared: 0.304
## F-statistic: 34.1 on 25 and 1865 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 1 : MedianHouseholdIncome2C:Race:I(Gini100C^2)
## --------
##
## -------------STEP 2 -------------
##
## Call:
## lm(formula = LabResGlucoseimpsqrt ~ Gini100C + MedianHouseholdIncome2C +
## Race + I(Gini100C^2) + Age0 + Sex + HseHldEducationDich +
## PovStat + CVDclusterdich + DMMclusterdich + PhysBMI + rxPsych +
## rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr +
## AlcoholCurr + IllicitDrugCurr + Gini100C:MedianHouseholdIncome2C +
## Gini100C:Race + MedianHouseholdIncome2C:Race + MedianHouseholdIncome2C:I(Gini100C^2) +
## Race:I(Gini100C^2) + Gini100C:MedianHouseholdIncome2C:Race,
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -6.446 -0.522 -0.135 0.261 11.279
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 8.302327 0.247036 33.61
## Gini100C -0.019808 0.010432 -1.90
## MedianHouseholdIncome2C -0.070358 0.068687 -1.02
## Race -0.119246 0.094849 -1.26
## I(Gini100C^2) 0.000661 0.001105 0.60
## Age0 0.011665 0.003626 3.22
## Sex 0.247778 0.063031 3.93
## HseHldEducationDich -0.036140 0.068130 -0.53
## PovStat 0.094957 0.066177 1.43
## CVDclusterdich -0.134958 0.164466 -0.82
## DMMclusterdich 0.292630 0.081281 3.60
## PhysBMI 0.029649 0.004289 6.91
## rxPsych -0.288141 0.089266 -3.23
## rxHTN 0.152772 0.082383 1.85
## rxDiabetes 2.418532 0.132327 18.28
## rxHypercholesterolemia -0.188284 0.111724 -1.69
## SmokingCurr 0.058657 0.079349 0.74
## AlcoholCurr 0.074712 0.064193 1.16
## IllicitDrugCurr -0.116392 0.087469 -1.33
## Gini100C:MedianHouseholdIncome2C 0.001060 0.010339 0.10
## Gini100C:Race 0.033628 0.014553 2.31
## MedianHouseholdIncome2C:Race 0.151082 0.078075 1.94
## MedianHouseholdIncome2C:I(Gini100C^2) 0.000119 0.000771 0.15
## Race:I(Gini100C^2) -0.002189 0.001827 -1.20
## Gini100C:MedianHouseholdIncome2C:Race -0.007218 0.014003 -0.52
## Pr(>|t|)
## (Intercept) < 2e-16
## Gini100C 0.05775
## MedianHouseholdIncome2C 0.30582
## Race 0.20883
## I(Gini100C^2) 0.54964
## Age0 0.00132
## Sex 0.0000876627357
## HseHldEducationDich 0.59586
## PovStat 0.15148
## CVDclusterdich 0.41199
## DMMclusterdich 0.00033
## PhysBMI 0.0000000000065
## rxPsych 0.00127
## rxHTN 0.06384
## rxDiabetes < 2e-16
## rxHypercholesterolemia 0.09211
## SmokingCurr 0.45986
## AlcoholCurr 0.24463
## IllicitDrugCurr 0.18346
## Gini100C:MedianHouseholdIncome2C 0.91835
## Gini100C:Race 0.02096
## MedianHouseholdIncome2C:Race 0.05313
## MedianHouseholdIncome2C:I(Gini100C^2) 0.87694
## Race:I(Gini100C^2) 0.23109
## Gini100C:MedianHouseholdIncome2C:Race 0.60629
##
## Residual standard error: 1.3 on 1866 degrees of freedom
## Multiple R-squared: 0.313, Adjusted R-squared: 0.304
## F-statistic: 35.4 on 24 and 1866 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 2 : MedianHouseholdIncome2C:I(Gini100C^2)
## --------
##
## -------------STEP 3 -------------
##
## Call:
## lm(formula = LabResGlucoseimpsqrt ~ Gini100C + MedianHouseholdIncome2C +
## Race + I(Gini100C^2) + Age0 + Sex + HseHldEducationDich +
## PovStat + CVDclusterdich + DMMclusterdich + PhysBMI + rxPsych +
## rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr +
## AlcoholCurr + IllicitDrugCurr + Gini100C:MedianHouseholdIncome2C +
## Gini100C:Race + MedianHouseholdIncome2C:Race + Race:I(Gini100C^2) +
## Gini100C:MedianHouseholdIncome2C:Race, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -6.444 -0.523 -0.139 0.262 11.279
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 8.301866 0.246953 33.62
## Gini100C -0.019957 0.010385 -1.92
## MedianHouseholdIncome2C -0.064985 0.059270 -1.10
## Race -0.115034 0.090844 -1.27
## I(Gini100C^2) 0.000708 0.001062 0.67
## Age0 0.011647 0.003623 3.21
## Sex 0.247684 0.063012 3.93
## HseHldEducationDich -0.036176 0.068112 -0.53
## PovStat 0.094812 0.066153 1.43
## CVDclusterdich -0.135033 0.164422 -0.82
## DMMclusterdich 0.292658 0.081260 3.60
## PhysBMI 0.029651 0.004288 6.91
## rxPsych -0.288565 0.089201 -3.24
## rxHTN 0.153151 0.082325 1.86
## rxDiabetes 2.417958 0.132240 18.28
## rxHypercholesterolemia -0.188182 0.111693 -1.68
## SmokingCurr 0.058171 0.079266 0.73
## AlcoholCurr 0.075216 0.064094 1.17
## IllicitDrugCurr -0.116809 0.087405 -1.34
## Gini100C:MedianHouseholdIncome2C 0.001398 0.010103 0.14
## Gini100C:Race 0.033470 0.014513 2.31
## MedianHouseholdIncome2C:Race 0.148829 0.076688 1.94
## Race:I(Gini100C^2) -0.002326 0.001598 -1.46
## Gini100C:MedianHouseholdIncome2C:Race -0.007266 0.013996 -0.52
## Pr(>|t|)
## (Intercept) < 2e-16
## Gini100C 0.05480
## MedianHouseholdIncome2C 0.27303
## Race 0.20557
## I(Gini100C^2) 0.50499
## Age0 0.00133
## Sex 0.0000877634680
## HseHldEducationDich 0.59539
## PovStat 0.15196
## CVDclusterdich 0.41161
## DMMclusterdich 0.00032
## PhysBMI 0.0000000000064
## rxPsych 0.00124
## rxHTN 0.06300
## rxDiabetes < 2e-16
## rxHypercholesterolemia 0.09219
## SmokingCurr 0.46312
## AlcoholCurr 0.24073
## IllicitDrugCurr 0.18158
## Gini100C:MedianHouseholdIncome2C 0.88994
## Gini100C:Race 0.02121
## MedianHouseholdIncome2C:Race 0.05244
## Race:I(Gini100C^2) 0.14563
## Gini100C:MedianHouseholdIncome2C:Race 0.60372
##
## Residual standard error: 1.3 on 1867 degrees of freedom
## Multiple R-squared: 0.313, Adjusted R-squared: 0.305
## F-statistic: 37 on 23 and 1867 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 3 : Gini100C:MedianHouseholdIncome2C:Race
## --------
##
## -------------STEP 4 -------------
##
## Call:
## lm(formula = LabResGlucoseimpsqrt ~ Gini100C + MedianHouseholdIncome2C +
## Race + I(Gini100C^2) + Age0 + Sex + HseHldEducationDich +
## PovStat + CVDclusterdich + DMMclusterdich + PhysBMI + rxPsych +
## rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr +
## AlcoholCurr + IllicitDrugCurr + Gini100C:MedianHouseholdIncome2C +
## Gini100C:Race + MedianHouseholdIncome2C:Race + Race:I(Gini100C^2),
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -6.426 -0.526 -0.138 0.258 11.266
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 8.305001 0.246831 33.65
## Gini100C -0.018705 0.010099 -1.85
## MedianHouseholdIncome2C -0.080535 0.051135 -1.57
## Race -0.118034 0.090642 -1.30
## I(Gini100C^2) 0.000745 0.001060 0.70
## Age0 0.011557 0.003618 3.19
## Sex 0.247482 0.062998 3.93
## HseHldEducationDich -0.034853 0.068051 -0.51
## PovStat 0.096212 0.066085 1.46
## CVDclusterdich -0.133988 0.164378 -0.82
## DMMclusterdich 0.291635 0.081220 3.59
## PhysBMI 0.029637 0.004287 6.91
## rxPsych -0.287998 0.089177 -3.23
## rxHTN 0.153012 0.082308 1.86
## rxDiabetes 2.419766 0.132168 18.31
## rxHypercholesterolemia -0.186716 0.111636 -1.67
## SmokingCurr 0.057179 0.079227 0.72
## AlcoholCurr 0.075276 0.064081 1.17
## IllicitDrugCurr -0.116014 0.087374 -1.33
## Gini100C:MedianHouseholdIncome2C -0.002391 0.006985 -0.34
## Gini100C:Race 0.031040 0.013735 2.26
## MedianHouseholdIncome2C:Race 0.156215 0.075342 2.07
## Race:I(Gini100C^2) -0.002049 0.001505 -1.36
## Pr(>|t|)
## (Intercept) < 2e-16
## Gini100C 0.06417
## MedianHouseholdIncome2C 0.11543
## Race 0.19301
## I(Gini100C^2) 0.48221
## Age0 0.00143
## Sex 0.0000886226816
## HseHldEducationDich 0.60860
## PovStat 0.14559
## CVDclusterdich 0.41511
## DMMclusterdich 0.00034
## PhysBMI 0.0000000000065
## rxPsych 0.00126
## rxHTN 0.06318
## rxDiabetes < 2e-16
## rxHypercholesterolemia 0.09458
## SmokingCurr 0.47056
## AlcoholCurr 0.24027
## IllicitDrugCurr 0.18441
## Gini100C:MedianHouseholdIncome2C 0.73220
## Gini100C:Race 0.02394
## MedianHouseholdIncome2C:Race 0.03827
## Race:I(Gini100C^2) 0.17376
##
## Residual standard error: 1.3 on 1868 degrees of freedom
## Multiple R-squared: 0.313, Adjusted R-squared: 0.305
## F-statistic: 38.7 on 22 and 1868 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 4 : Race:I(Gini100C^2)
## --------
##
## -------------STEP 5 -------------
##
## Call:
## lm(formula = LabResGlucoseimpsqrt ~ Gini100C + MedianHouseholdIncome2C +
## Race + I(Gini100C^2) + Age0 + Sex + HseHldEducationDich +
## PovStat + CVDclusterdich + DMMclusterdich + PhysBMI + rxPsych +
## rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr +
## AlcoholCurr + IllicitDrugCurr + Gini100C:MedianHouseholdIncome2C +
## Gini100C:Race + MedianHouseholdIncome2C:Race, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -6.430 -0.526 -0.143 0.258 11.268
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 8.358551 0.243729 34.29
## Gini100C -0.013865 0.009454 -1.47
## MedianHouseholdIncome2C -0.054025 0.047289 -1.14
## Race -0.194007 0.071422 -2.72
## I(Gini100C^2) -0.000310 0.000723 -0.43
## Age0 0.011579 0.003619 3.20
## Sex 0.243286 0.062937 3.87
## HseHldEducationDich -0.030068 0.067975 -0.44
## PovStat 0.099381 0.066059 1.50
## CVDclusterdich -0.136324 0.164406 -0.83
## DMMclusterdich 0.283586 0.081023 3.50
## PhysBMI 0.029557 0.004288 6.89
## rxPsych -0.295321 0.089034 -3.32
## rxHTN 0.154369 0.082321 1.88
## rxDiabetes 2.427740 0.132069 18.38
## rxHypercholesterolemia -0.188618 0.111652 -1.69
## SmokingCurr 0.059458 0.079228 0.75
## AlcoholCurr 0.071441 0.064034 1.12
## IllicitDrugCurr -0.120928 0.087320 -1.38
## Gini100C:MedianHouseholdIncome2C 0.002079 0.006166 0.34
## Gini100C:Race 0.019855 0.011007 1.80
## MedianHouseholdIncome2C:Race 0.113268 0.068428 1.66
## Pr(>|t|)
## (Intercept) < 2e-16
## Gini100C 0.14267
## MedianHouseholdIncome2C 0.25341
## Race 0.00666
## I(Gini100C^2) 0.66790
## Age0 0.00140
## Sex 0.00011
## HseHldEducationDich 0.65830
## PovStat 0.13264
## CVDclusterdich 0.40710
## DMMclusterdich 0.00048
## PhysBMI 0.0000000000074
## rxPsych 0.00093
## rxHTN 0.06092
## rxDiabetes < 2e-16
## rxHypercholesterolemia 0.09132
## SmokingCurr 0.45306
## AlcoholCurr 0.26470
## IllicitDrugCurr 0.16625
## Gini100C:MedianHouseholdIncome2C 0.73600
## Gini100C:Race 0.07141
## MedianHouseholdIncome2C:Race 0.09803
##
## Residual standard error: 1.3 on 1869 degrees of freedom
## Multiple R-squared: 0.312, Adjusted R-squared: 0.304
## F-statistic: 40.4 on 21 and 1869 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 5 : Gini100C:MedianHouseholdIncome2C
## --------
##
## -------------STEP 6 -------------
##
## Call:
## lm(formula = LabResGlucoseimpsqrt ~ Gini100C + MedianHouseholdIncome2C +
## Race + I(Gini100C^2) + Age0 + Sex + HseHldEducationDich +
## PovStat + CVDclusterdich + DMMclusterdich + PhysBMI + rxPsych +
## rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr +
## AlcoholCurr + IllicitDrugCurr + Gini100C:Race + MedianHouseholdIncome2C:Race,
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -6.445 -0.522 -0.143 0.256 11.276
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 8.363449 0.243238 34.38 < 2e-16
## Gini100C -0.012370 0.008348 -1.48 0.13856
## MedianHouseholdIncome2C -0.061516 0.041736 -1.47 0.14067
## Race -0.201369 0.067987 -2.96 0.00310
## I(Gini100C^2) -0.000423 0.000641 -0.66 0.50994
## Age0 0.011586 0.003618 3.20 0.00139
## Sex 0.243086 0.062919 3.86 0.00012
## HseHldEducationDich -0.028754 0.067847 -0.42 0.67176
## PovStat 0.099508 0.066042 1.51 0.13205
## CVDclusterdich -0.136896 0.164358 -0.83 0.40500
## DMMclusterdich 0.282416 0.080929 3.49 0.00049
## PhysBMI 0.029564 0.004287 6.90 0.0000000000073
## rxPsych -0.295135 0.089012 -3.32 0.00093
## rxHTN 0.153578 0.082268 1.87 0.06209
## rxDiabetes 2.429386 0.131947 18.41 < 2e-16
## rxHypercholesterolemia -0.188488 0.111625 -1.69 0.09147
## SmokingCurr 0.059282 0.079207 0.75 0.45428
## AlcoholCurr 0.072133 0.063986 1.13 0.25975
## IllicitDrugCurr -0.120902 0.087299 -1.38 0.16624
## Gini100C:Race 0.018437 0.010170 1.81 0.07000
## MedianHouseholdIncome2C:Race 0.124905 0.059074 2.11 0.03461
##
## Residual standard error: 1.3 on 1870 degrees of freedom
## Multiple R-squared: 0.312, Adjusted R-squared: 0.305
## F-statistic: 42.4 on 20 and 1870 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 6 : I(Gini100C^2)
## --------
##
## -------------STEP 7 -------------
##
## Call:
## lm(formula = LabResGlucoseimpsqrt ~ Gini100C + MedianHouseholdIncome2C +
## Race + Age0 + Sex + HseHldEducationDich + PovStat + CVDclusterdich +
## DMMclusterdich + PhysBMI + rxPsych + rxHTN + rxDiabetes +
## rxHypercholesterolemia + SmokingCurr + AlcoholCurr + IllicitDrugCurr +
## Gini100C:Race + MedianHouseholdIncome2C:Race, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -6.466 -0.519 -0.144 0.257 11.282
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 8.34244 0.24111 34.60 < 2e-16
## Gini100C -0.01497 0.00736 -2.03 0.04213
## MedianHouseholdIncome2C -0.06530 0.04133 -1.58 0.11429
## Race -0.19631 0.06754 -2.91 0.00370
## Age0 0.01157 0.00362 3.20 0.00141
## Sex 0.24114 0.06284 3.84 0.00013
## HseHldEducationDich -0.03137 0.06772 -0.46 0.64327
## PovStat 0.09844 0.06601 1.49 0.13607
## CVDclusterdich -0.14184 0.16416 -0.86 0.38767
## DMMclusterdich 0.27944 0.08079 3.46 0.00055
## PhysBMI 0.02978 0.00427 6.97 0.0000000000045
## rxPsych -0.29798 0.08889 -3.35 0.00082
## rxHTN 0.15462 0.08224 1.88 0.06026
## rxDiabetes 2.43385 0.13175 18.47 < 2e-16
## rxHypercholesterolemia -0.18946 0.11160 -1.70 0.08974
## SmokingCurr 0.05933 0.07920 0.75 0.45385
## AlcoholCurr 0.07153 0.06397 1.12 0.26365
## IllicitDrugCurr -0.12434 0.08713 -1.43 0.15372
## Gini100C:Race 0.01761 0.01009 1.75 0.08114
## MedianHouseholdIncome2C:Race 0.12482 0.05906 2.11 0.03471
##
## Residual standard error: 1.3 on 1871 degrees of freedom
## Multiple R-squared: 0.312, Adjusted R-squared: 0.305
## F-statistic: 44.7 on 19 and 1871 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 7 : Gini100C:Race
## --------
##
## -------------STEP 8 -------------
##
## Call:
## lm(formula = LabResGlucoseimpsqrt ~ Gini100C + MedianHouseholdIncome2C +
## Race + Age0 + Sex + HseHldEducationDich + PovStat + CVDclusterdich +
## DMMclusterdich + PhysBMI + rxPsych + rxHTN + rxDiabetes +
## rxHypercholesterolemia + SmokingCurr + AlcoholCurr + IllicitDrugCurr +
## MedianHouseholdIncome2C:Race, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -6.496 -0.530 -0.157 0.249 11.238
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 8.32032 0.24090 34.54 < 2e-16
## Gini100C -0.00544 0.00494 -1.10 0.27086
## MedianHouseholdIncome2C -0.05358 0.04081 -1.31 0.18932
## Race -0.20212 0.06750 -2.99 0.00279
## Age0 0.01188 0.00361 3.29 0.00103
## Sex 0.24674 0.06279 3.93 0.0000882523410
## HseHldEducationDich -0.03804 0.06765 -0.56 0.57401
## PovStat 0.11815 0.06507 1.82 0.06960
## CVDclusterdich -0.13704 0.16423 -0.83 0.40414
## DMMclusterdich 0.27763 0.08083 3.43 0.00061
## PhysBMI 0.03026 0.00427 7.09 0.0000000000019
## rxPsych -0.29725 0.08894 -3.34 0.00085
## rxHTN 0.14939 0.08223 1.82 0.06942
## rxDiabetes 2.43799 0.13180 18.50 < 2e-16
## rxHypercholesterolemia -0.19179 0.11165 -1.72 0.08601
## SmokingCurr 0.05537 0.07921 0.70 0.48463
## AlcoholCurr 0.06654 0.06394 1.04 0.29816
## IllicitDrugCurr -0.11924 0.08713 -1.37 0.17130
## MedianHouseholdIncome2C:Race 0.09093 0.05581 1.63 0.10342
##
## Residual standard error: 1.3 on 1872 degrees of freedom
## Multiple R-squared: 0.311, Adjusted R-squared: 0.304
## F-statistic: 46.9 on 18 and 1872 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 8 : MedianHouseholdIncome2C:Race
## --------
##
## -------------STEP 9 -------------
##
## Call:
## lm(formula = LabResGlucoseimpsqrt ~ Gini100C + MedianHouseholdIncome2C +
## Race + Age0 + Sex + HseHldEducationDich + PovStat + CVDclusterdich +
## DMMclusterdich + PhysBMI + rxPsych + rxHTN + rxDiabetes +
## rxHypercholesterolemia + SmokingCurr + AlcoholCurr + IllicitDrugCurr,
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -6.444 -0.527 -0.147 0.254 11.192
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 8.27775 0.23959 34.55 < 2e-16
## Gini100C -0.00667 0.00488 -1.37 0.17197
## MedianHouseholdIncome2C -0.00848 0.02999 -0.28 0.77746
## Race -0.18744 0.06692 -2.80 0.00515
## Age0 0.01180 0.00362 3.26 0.00112
## Sex 0.24549 0.06282 3.91 9.6e-05
## HseHldEducationDich -0.03184 0.06757 -0.47 0.63753
## PovStat 0.12257 0.06505 1.88 0.05968
## CVDclusterdich -0.13593 0.16430 -0.83 0.40816
## DMMclusterdich 0.27674 0.08086 3.42 0.00063
## PhysBMI 0.03086 0.00425 7.25 5.9e-13
## rxPsych -0.30004 0.08896 -3.37 0.00076
## rxHTN 0.14601 0.08224 1.78 0.07599
## rxDiabetes 2.43947 0.13186 18.50 < 2e-16
## rxHypercholesterolemia -0.19497 0.11168 -1.75 0.08102
## SmokingCurr 0.05223 0.07922 0.66 0.50977
## AlcoholCurr 0.06837 0.06396 1.07 0.28524
## IllicitDrugCurr -0.11869 0.08717 -1.36 0.17347
##
## Residual standard error: 1.3 on 1873 degrees of freedom
## Multiple R-squared: 0.31, Adjusted R-squared: 0.304
## F-statistic: 49.5 on 17 and 1873 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 9 : Gini100C
## --------
## Warning: All variables have been thrown out of the model.
## No model could be specified.
## ***************** END Backward Elimination: LabResGlucoseimpsqrt *****************************
##
##
## ************************************************************
## ************************************************************
## BEGIN: PhysBMI
## ************************************************************
## ************************************************************
## Warning: PhysBMI cannot be found in the model
## These terms are ignored in the model selection.
## -------------STEP 1 -------------
##
## Call:
## lm(formula = "PhysBMI ~ Gini100C*MedianHouseholdIncome2C*Race + I(Gini100C^2)*MedianHouseholdIncome2C*Race + Age0 + Sex + Race + HseHldEducationDich + PovStat + CVDclusterdich + DMMclusterdich + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C",
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -16.047 -4.863 -0.825 3.793 29.616
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 35.61556 1.05087 33.89
## Gini100C -0.06883 0.05677 -1.21
## MedianHouseholdIncome2C -0.78727 0.46229 -1.70
## Race -0.41230 0.51180 -0.81
## I(Gini100C^2) -0.01463 0.00643 -2.27
## Age0 -0.08644 0.01948 -4.44
## Sex -2.86455 0.33370 -8.58
## HseHldEducationDich -0.19086 0.36785 -0.52
## PovStat -0.65085 0.35683 -1.82
## CVDclusterdich -0.71047 0.88741 -0.80
## DMMclusterdich 0.49386 0.43852 1.13
## rxPsych -0.29359 0.48173 -0.61
## rxHTN 3.27255 0.43836 7.47
## rxDiabetes 3.01444 0.71073 4.24
## rxHypercholesterolemia 1.36797 0.60212 2.27
## SmokingCurr 1.83553 0.42624 4.31
## AlcoholCurr -0.93762 0.34601 -2.71
## IllicitDrugCurr -1.98471 0.46993 -4.22
## Gini100C:MedianHouseholdIncome2C -0.00419 0.05861 -0.07
## Gini100C:Race 0.14010 0.07983 1.76
## MedianHouseholdIncome2C:Race 1.47701 0.54730 2.70
## MedianHouseholdIncome2C:I(Gini100C^2) 0.00374 0.00745 0.50
## Race:I(Gini100C^2) 0.00635 0.00986 0.64
## Gini100C:MedianHouseholdIncome2C:Race 0.03395 0.07954 0.43
## MedianHouseholdIncome2C:Race:I(Gini100C^2) -0.00469 0.00899 -0.52
## Pr(>|t|)
## (Intercept) < 2e-16
## Gini100C 0.2255
## MedianHouseholdIncome2C 0.0887
## Race 0.4206
## I(Gini100C^2) 0.0230
## Age0 9.6e-06
## Sex < 2e-16
## HseHldEducationDich 0.6039
## PovStat 0.0683
## CVDclusterdich 0.4235
## DMMclusterdich 0.2602
## rxPsych 0.5423
## rxHTN 1.3e-13
## rxDiabetes 2.3e-05
## rxHypercholesterolemia 0.0232
## SmokingCurr 1.7e-05
## AlcoholCurr 0.0068
## IllicitDrugCurr 2.5e-05
## Gini100C:MedianHouseholdIncome2C 0.9431
## Gini100C:Race 0.0794
## MedianHouseholdIncome2C:Race 0.0070
## MedianHouseholdIncome2C:I(Gini100C^2) 0.6153
## Race:I(Gini100C^2) 0.5201
## Gini100C:MedianHouseholdIncome2C:Race 0.6695
## MedianHouseholdIncome2C:Race:I(Gini100C^2) 0.6021
##
## Residual standard error: 7.01 on 1866 degrees of freedom
## Multiple R-squared: 0.183, Adjusted R-squared: 0.173
## F-statistic: 17.4 on 24 and 1866 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 1 : MedianHouseholdIncome2C:Race:I(Gini100C^2)
## --------
##
## -------------STEP 2 -------------
##
## Call:
## lm(formula = PhysBMI ~ Gini100C + MedianHouseholdIncome2C + Race +
## I(Gini100C^2) + Age0 + Sex + HseHldEducationDich + PovStat +
## CVDclusterdich + DMMclusterdich + rxPsych + rxHTN + rxDiabetes +
## rxHypercholesterolemia + SmokingCurr + AlcoholCurr + IllicitDrugCurr +
## Gini100C:MedianHouseholdIncome2C + Gini100C:Race + MedianHouseholdIncome2C:Race +
## MedianHouseholdIncome2C:I(Gini100C^2) + Race:I(Gini100C^2) +
## Gini100C:MedianHouseholdIncome2C:Race, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -15.995 -4.871 -0.828 3.797 29.691
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 35.577712 1.048160 33.94
## Gini100C -0.072731 0.056264 -1.29
## MedianHouseholdIncome2C -0.643014 0.370307 -1.74
## Race -0.415022 0.511673 -0.81
## I(Gini100C^2) -0.013364 0.005956 -2.24
## Age0 -0.086083 0.019462 -4.42
## Sex -2.868697 0.333544 -8.60
## HseHldEducationDich -0.197325 0.367571 -0.54
## PovStat -0.652881 0.356740 -1.83
## CVDclusterdich -0.711974 0.887231 -0.80
## DMMclusterdich 0.491614 0.438411 1.12
## rxPsych -0.297113 0.481592 -0.62
## rxHTN 3.264966 0.438031 7.45
## rxDiabetes 3.011046 0.710566 4.24
## rxHypercholesterolemia 1.365516 0.601987 2.27
## SmokingCurr 1.841437 0.426005 4.32
## AlcoholCurr -0.944838 0.345667 -2.73
## IllicitDrugCurr -1.979247 0.469717 -4.21
## Gini100C:MedianHouseholdIncome2C 0.005174 0.055786 0.09
## Gini100C:Race 0.147754 0.078448 1.88
## MedianHouseholdIncome2C:Race 1.294205 0.420191 3.08
## MedianHouseholdIncome2C:I(Gini100C^2) 0.000522 0.004160 0.13
## Race:I(Gini100C^2) 0.006195 0.009858 0.63
## Gini100C:MedianHouseholdIncome2C:Race 0.021012 0.075555 0.28
## Pr(>|t|)
## (Intercept) < 2e-16
## Gini100C 0.1963
## MedianHouseholdIncome2C 0.0827
## Race 0.4174
## I(Gini100C^2) 0.0250
## Age0 1.0e-05
## Sex < 2e-16
## HseHldEducationDich 0.5914
## PovStat 0.0674
## CVDclusterdich 0.4224
## DMMclusterdich 0.2623
## rxPsych 0.5373
## rxHTN 1.4e-13
## rxDiabetes 2.4e-05
## rxHypercholesterolemia 0.0234
## SmokingCurr 1.6e-05
## AlcoholCurr 0.0063
## IllicitDrugCurr 2.6e-05
## Gini100C:MedianHouseholdIncome2C 0.9261
## Gini100C:Race 0.0598
## MedianHouseholdIncome2C:Race 0.0021
## MedianHouseholdIncome2C:I(Gini100C^2) 0.9001
## Race:I(Gini100C^2) 0.5298
## Gini100C:MedianHouseholdIncome2C:Race 0.7810
##
## Residual standard error: 7 on 1867 degrees of freedom
## Multiple R-squared: 0.183, Adjusted R-squared: 0.173
## F-statistic: 18.2 on 23 and 1867 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 2 : MedianHouseholdIncome2C:I(Gini100C^2)
## --------
##
## -------------STEP 3 -------------
##
## Call:
## lm(formula = PhysBMI ~ Gini100C + MedianHouseholdIncome2C + Race +
## I(Gini100C^2) + Age0 + Sex + HseHldEducationDich + PovStat +
## CVDclusterdich + DMMclusterdich + rxPsych + rxHTN + rxDiabetes +
## rxHypercholesterolemia + SmokingCurr + AlcoholCurr + IllicitDrugCurr +
## Gini100C:MedianHouseholdIncome2C + Gini100C:Race + MedianHouseholdIncome2C:Race +
## Race:I(Gini100C^2) + Gini100C:MedianHouseholdIncome2C:Race,
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -15.986 -4.865 -0.831 3.796 29.661
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 35.57600 1.04780 33.95 < 2e-16
## Gini100C -0.07338 0.05601 -1.31 0.1903
## MedianHouseholdIncome2C -0.61951 0.31947 -1.94 0.0526
## Race -0.39660 0.49007 -0.81 0.4185
## I(Gini100C^2) -0.01316 0.00572 -2.30 0.0216
## Age0 -0.08616 0.01945 -4.43 9.9e-06
## Sex -2.86913 0.33344 -8.60 < 2e-16
## HseHldEducationDich -0.19749 0.36747 -0.54 0.5910
## PovStat -0.65352 0.35661 -1.83 0.0670
## CVDclusterdich -0.71231 0.88699 -0.80 0.4220
## DMMclusterdich 0.49174 0.43829 1.12 0.2620
## rxPsych -0.29897 0.48124 -0.62 0.5345
## rxHTN 3.26666 0.43771 7.46 1.3e-13
## rxDiabetes 3.00856 0.71010 4.24 2.4e-05
## rxHypercholesterolemia 1.36597 0.60182 2.27 0.0233
## SmokingCurr 1.83932 0.42556 4.32 1.6e-05
## AlcoholCurr -0.94264 0.34513 -2.73 0.0064
## IllicitDrugCurr -1.98109 0.46936 -4.22 2.6e-05
## Gini100C:MedianHouseholdIncome2C 0.00665 0.05451 0.12 0.9029
## Gini100C:Race 0.14706 0.07823 1.88 0.0603
## MedianHouseholdIncome2C:Race 1.28436 0.41270 3.11 0.0019
## Race:I(Gini100C^2) 0.00559 0.00862 0.65 0.5164
## Gini100C:MedianHouseholdIncome2C:Race 0.02080 0.07552 0.28 0.7830
##
## Residual standard error: 7 on 1868 degrees of freedom
## Multiple R-squared: 0.183, Adjusted R-squared: 0.174
## F-statistic: 19 on 22 and 1868 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 3 : Gini100C:MedianHouseholdIncome2C:Race
## --------
##
## -------------STEP 4 -------------
##
## Call:
## lm(formula = PhysBMI ~ Gini100C + MedianHouseholdIncome2C + Race +
## I(Gini100C^2) + Age0 + Sex + HseHldEducationDich + PovStat +
## CVDclusterdich + DMMclusterdich + rxPsych + rxHTN + rxDiabetes +
## rxHypercholesterolemia + SmokingCurr + AlcoholCurr + IllicitDrugCurr +
## Gini100C:MedianHouseholdIncome2C + Gini100C:Race + MedianHouseholdIncome2C:Race +
## Race:I(Gini100C^2), data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -15.987 -4.867 -0.838 3.794 29.693
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 35.56847 1.04718 33.97 < 2e-16
## Gini100C -0.07697 0.05446 -1.41 0.1577
## MedianHouseholdIncome2C -0.57502 0.27556 -2.09 0.0371
## Race -0.38803 0.48896 -0.79 0.4275
## I(Gini100C^2) -0.01326 0.00571 -2.32 0.0203
## Age0 -0.08591 0.01942 -4.42 1.0e-05
## Sex -2.86867 0.33335 -8.61 < 2e-16
## HseHldEducationDich -0.20129 0.36712 -0.55 0.5836
## PovStat -0.65755 0.35622 -1.85 0.0651
## CVDclusterdich -0.71533 0.88671 -0.81 0.4199
## DMMclusterdich 0.49469 0.43805 1.13 0.2589
## rxPsych -0.30061 0.48108 -0.62 0.5321
## rxHTN 3.26719 0.43760 7.47 1.3e-13
## rxDiabetes 3.00351 0.70969 4.23 2.4e-05
## rxHypercholesterolemia 1.36183 0.60148 2.26 0.0237
## SmokingCurr 1.84224 0.42532 4.33 1.6e-05
## AlcoholCurr -0.94285 0.34505 -2.73 0.0063
## IllicitDrugCurr -1.98345 0.46917 -4.23 2.5e-05
## Gini100C:MedianHouseholdIncome2C 0.01750 0.03768 0.46 0.6424
## Gini100C:Race 0.15402 0.07402 2.08 0.0376
## MedianHouseholdIncome2C:Race 1.26326 0.40544 3.12 0.0019
## Race:I(Gini100C^2) 0.00480 0.00812 0.59 0.5546
##
## Residual standard error: 7 on 1869 degrees of freedom
## Multiple R-squared: 0.183, Adjusted R-squared: 0.174
## F-statistic: 19.9 on 21 and 1869 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 4 : Race:I(Gini100C^2)
## --------
##
## -------------STEP 5 -------------
##
## Call:
## lm(formula = PhysBMI ~ Gini100C + MedianHouseholdIncome2C + Race +
## I(Gini100C^2) + Age0 + Sex + HseHldEducationDich + PovStat +
## CVDclusterdich + DMMclusterdich + rxPsych + rxHTN + rxDiabetes +
## rxHypercholesterolemia + SmokingCurr + AlcoholCurr + IllicitDrugCurr +
## Gini100C:MedianHouseholdIncome2C + Gini100C:Race + MedianHouseholdIncome2C:Race,
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -15.915 -4.841 -0.802 3.815 29.629
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 35.44961 1.02751 34.50 < 2e-16
## Gini100C -0.08833 0.05095 -1.73 0.08312
## MedianHouseholdIncome2C -0.63726 0.25461 -2.50 0.01240
## Race -0.21004 0.38515 -0.55 0.58559
## I(Gini100C^2) -0.01079 0.00389 -2.77 0.00558
## Age0 -0.08598 0.01942 -4.43 1.0e-05
## Sex -2.85937 0.33292 -8.59 < 2e-16
## HseHldEducationDich -0.21254 0.36656 -0.58 0.56211
## PovStat -0.66510 0.35593 -1.87 0.06183
## CVDclusterdich -0.70999 0.88651 -0.80 0.42330
## DMMclusterdich 0.51365 0.43680 1.18 0.23977
## rxPsych -0.28350 0.48013 -0.59 0.55494
## rxHTN 3.26462 0.43750 7.46 1.3e-13
## rxDiabetes 2.98538 0.70891 4.21 2.7e-05
## rxHypercholesterolemia 1.36654 0.60132 2.27 0.02317
## SmokingCurr 1.83724 0.42517 4.32 1.6e-05
## AlcoholCurr -0.93404 0.34466 -2.71 0.00679
## IllicitDrugCurr -1.97230 0.46871 -4.21 2.7e-05
## Gini100C:MedianHouseholdIncome2C 0.00703 0.03325 0.21 0.83260
## Gini100C:Race 0.18027 0.05921 3.04 0.00236
## MedianHouseholdIncome2C:Race 1.36416 0.36769 3.71 0.00021
##
## Residual standard error: 7 on 1870 degrees of freedom
## Multiple R-squared: 0.183, Adjusted R-squared: 0.174
## F-statistic: 20.9 on 20 and 1870 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 5 : Gini100C:MedianHouseholdIncome2C
## --------
##
## -------------STEP 6 -------------
##
## Call:
## lm(formula = PhysBMI ~ Gini100C + MedianHouseholdIncome2C + Race +
## I(Gini100C^2) + Age0 + Sex + HseHldEducationDich + PovStat +
## CVDclusterdich + DMMclusterdich + rxPsych + rxHTN + rxDiabetes +
## rxHypercholesterolemia + SmokingCurr + AlcoholCurr + IllicitDrugCurr +
## Gini100C:Race + MedianHouseholdIncome2C:Race, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -15.926 -4.834 -0.809 3.776 29.676
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 35.46701 1.02394 34.64 < 2e-16
## Gini100C -0.08328 0.04498 -1.85 0.0643
## MedianHouseholdIncome2C -0.66260 0.22456 -2.95 0.0032
## Race -0.23493 0.36661 -0.64 0.5217
## I(Gini100C^2) -0.01117 0.00345 -3.24 0.0012
## Age0 -0.08596 0.01941 -4.43 1.0e-05
## Sex -2.86011 0.33282 -8.59 < 2e-16
## HseHldEducationDich -0.20810 0.36587 -0.57 0.5696
## PovStat -0.66469 0.35583 -1.87 0.0619
## CVDclusterdich -0.71193 0.88623 -0.80 0.4219
## DMMclusterdich 0.50971 0.43629 1.17 0.2428
## rxPsych -0.28288 0.48000 -0.59 0.5557
## rxHTN 3.26202 0.43721 7.46 1.3e-13
## rxDiabetes 2.99102 0.70822 4.22 2.5e-05
## rxHypercholesterolemia 1.36701 0.60117 2.27 0.0231
## SmokingCurr 1.83669 0.42505 4.32 1.6e-05
## AlcoholCurr -0.93172 0.34440 -2.71 0.0069
## IllicitDrugCurr -1.97226 0.46859 -4.21 2.7e-05
## Gini100C:Race 0.17548 0.05470 3.21 0.0014
## MedianHouseholdIncome2C:Race 1.40354 0.31693 4.43 1.0e-05
##
## Residual standard error: 7 on 1871 degrees of freedom
## Multiple R-squared: 0.183, Adjusted R-squared: 0.175
## F-statistic: 22 on 19 and 1871 DF, p-value: <2e-16
##
## ***************** END Backward Elimination: PhysBMI *****************************
##
##
## ************************************************************
## ************************************************************
## BEGIN: LabResLDLcalcimp
## ************************************************************
## ************************************************************
## -------------STEP 1 -------------
##
## Call:
## lm(formula = "LabResLDLcalcimp ~ Gini100C*MedianHouseholdIncome2C*Race + I(Gini100C^2)*MedianHouseholdIncome2C*Race + Age0 + Sex + Race + HseHldEducationDich + PovStat + CVDclusterdich + DMMclusterdich + PhysBMI + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C",
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -94.94 -23.40 -1.65 19.44 153.54
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 75.2380 6.4623 11.64
## Gini100C -0.0120 0.2748 -0.04
## MedianHouseholdIncome2C 1.0008 2.2383 0.45
## Race -2.2384 2.4766 -0.90
## I(Gini100C^2) 0.0252 0.0312 0.81
## Age0 0.5513 0.0947 5.82
## Sex -2.9624 1.6461 -1.80
## HseHldEducationDich 1.6145 1.7798 0.91
## PovStat -2.2471 1.7279 -1.30
## CVDclusterdich -11.8233 4.2941 -2.75
## DMMclusterdich -3.9626 2.1223 -1.87
## PhysBMI 0.5173 0.1120 4.62
## rxPsych -0.3522 2.3309 -0.15
## rxHTN 2.5109 2.1522 1.17
## rxDiabetes -7.0388 3.4551 -2.04
## rxHypercholesterolemia -8.8039 2.9171 -3.02
## SmokingCurr 0.3175 2.0724 0.15
## AlcoholCurr -3.3748 1.6773 -2.01
## IllicitDrugCurr -1.2346 2.2844 -0.54
## Gini100C:MedianHouseholdIncome2C -0.0267 0.2836 -0.09
## Gini100C:Race 0.0746 0.3865 0.19
## MedianHouseholdIncome2C:Race 1.6529 2.6530 0.62
## MedianHouseholdIncome2C:I(Gini100C^2) -0.0242 0.0360 -0.67
## Race:I(Gini100C^2) -0.0306 0.0477 -0.64
## Gini100C:MedianHouseholdIncome2C:Race 0.2966 0.3848 0.77
## MedianHouseholdIncome2C:Race:I(Gini100C^2) 0.0145 0.0435 0.33
## Pr(>|t|)
## (Intercept) < 2e-16
## Gini100C 0.9651
## MedianHouseholdIncome2C 0.6549
## Race 0.3662
## I(Gini100C^2) 0.4185
## Age0 0.0000000069
## Sex 0.0721
## HseHldEducationDich 0.3645
## PovStat 0.1936
## CVDclusterdich 0.0060
## DMMclusterdich 0.0620
## PhysBMI 0.0000041165
## rxPsych 0.8799
## rxHTN 0.2435
## rxDiabetes 0.0418
## rxHypercholesterolemia 0.0026
## SmokingCurr 0.8783
## AlcoholCurr 0.0444
## IllicitDrugCurr 0.5889
## Gini100C:MedianHouseholdIncome2C 0.9249
## Gini100C:Race 0.8470
## MedianHouseholdIncome2C:Race 0.5334
## MedianHouseholdIncome2C:I(Gini100C^2) 0.5017
## Race:I(Gini100C^2) 0.5221
## Gini100C:MedianHouseholdIncome2C:Race 0.4411
## MedianHouseholdIncome2C:Race:I(Gini100C^2) 0.7391
##
## Residual standard error: 33.9 on 1865 degrees of freedom
## Multiple R-squared: 0.0693, Adjusted R-squared: 0.0568
## F-statistic: 5.56 on 25 and 1865 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 1 : MedianHouseholdIncome2C:Race:I(Gini100C^2)
## --------
##
## -------------STEP 2 -------------
##
## Call:
## lm(formula = LabResLDLcalcimp ~ Gini100C + MedianHouseholdIncome2C +
## Race + I(Gini100C^2) + Age0 + Sex + HseHldEducationDich +
## PovStat + CVDclusterdich + DMMclusterdich + PhysBMI + rxPsych +
## rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr +
## AlcoholCurr + IllicitDrugCurr + Gini100C:MedianHouseholdIncome2C +
## Gini100C:Race + MedianHouseholdIncome2C:Race + MedianHouseholdIncome2C:I(Gini100C^2) +
## Race:I(Gini100C^2) + Gini100C:MedianHouseholdIncome2C:Race,
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -95.01 -23.38 -1.71 19.46 153.60
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 75.3709632 6.4483715 11.69
## Gini100C 0.0000133 0.2723172 0.00
## MedianHouseholdIncome2C 0.5546468 1.7929423 0.31
## Race -2.2302165 2.4758393 -0.90
## I(Gini100C^2) 0.0213013 0.0288515 0.74
## Age0 0.5501039 0.0946459 5.81
## Sex -2.9509005 1.6452956 -1.79
## HseHldEducationDich 1.6343820 1.7783943 0.92
## PovStat -2.2411001 1.7274076 -1.30
## CVDclusterdich -11.8189579 4.2930452 -2.75
## DMMclusterdich -3.9553956 2.1216855 -1.86
## PhysBMI 0.5168937 0.1119648 4.62
## rxPsych -0.3414207 2.3301161 -0.15
## rxHTN 2.5357926 2.1504329 1.18
## rxDiabetes -7.0269824 3.4541166 -2.03
## rxHypercholesterolemia -8.7956991 2.9163408 -3.02
## SmokingCurr 0.3000692 2.0712399 0.14
## AlcoholCurr -3.3528860 1.6756316 -2.00
## IllicitDrugCurr -1.2523887 2.2832097 -0.55
## Gini100C:MedianHouseholdIncome2C -0.0556549 0.2698851 -0.21
## Gini100C:Race 0.0509935 0.3798821 0.13
## MedianHouseholdIncome2C:Race 2.2184314 2.0379862 1.09
## MedianHouseholdIncome2C:I(Gini100C^2) -0.0142574 0.0201240 -0.71
## Race:I(Gini100C^2) -0.0300874 0.0476966 -0.63
## Gini100C:MedianHouseholdIncome2C:Race 0.3365611 0.3655309 0.92
## Pr(>|t|)
## (Intercept) < 2e-16
## Gini100C 1.0000
## MedianHouseholdIncome2C 0.7571
## Race 0.3678
## I(Gini100C^2) 0.4604
## Age0 0.0000000072
## Sex 0.0730
## HseHldEducationDich 0.3582
## PovStat 0.1947
## CVDclusterdich 0.0060
## DMMclusterdich 0.0624
## PhysBMI 0.0000041674
## rxPsych 0.8835
## rxHTN 0.2385
## rxDiabetes 0.0421
## rxHypercholesterolemia 0.0026
## SmokingCurr 0.8848
## AlcoholCurr 0.0455
## IllicitDrugCurr 0.5834
## Gini100C:MedianHouseholdIncome2C 0.8366
## Gini100C:Race 0.8932
## MedianHouseholdIncome2C:Race 0.2765
## MedianHouseholdIncome2C:I(Gini100C^2) 0.4787
## Race:I(Gini100C^2) 0.5282
## Gini100C:MedianHouseholdIncome2C:Race 0.3573
##
## Residual standard error: 33.9 on 1866 degrees of freedom
## Multiple R-squared: 0.0693, Adjusted R-squared: 0.0573
## F-statistic: 5.78 on 24 and 1866 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 2 : Race:I(Gini100C^2)
## --------
##
## -------------STEP 3 -------------
##
## Call:
## lm(formula = LabResLDLcalcimp ~ Gini100C + MedianHouseholdIncome2C +
## Race + I(Gini100C^2) + Age0 + Sex + HseHldEducationDich +
## PovStat + CVDclusterdich + DMMclusterdich + PhysBMI + rxPsych +
## rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr +
## AlcoholCurr + IllicitDrugCurr + Gini100C:MedianHouseholdIncome2C +
## Gini100C:Race + MedianHouseholdIncome2C:Race + MedianHouseholdIncome2C:I(Gini100C^2) +
## Gini100C:MedianHouseholdIncome2C:Race, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -94.87 -23.22 -1.86 19.58 153.75
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 75.95820 6.37979 11.91
## Gini100C 0.06762 0.25030 0.27
## MedianHouseholdIncome2C 0.39800 1.77538 0.22
## Race -3.23321 1.89749 -1.70
## I(Gini100C^2) 0.00869 0.02080 0.42
## Age0 0.55043 0.09463 5.82
## Sex -2.98980 1.64387 -1.82
## HseHldEducationDich 1.69631 1.77540 0.96
## PovStat -2.18903 1.72516 -1.27
## CVDclusterdich -11.82871 4.29233 -2.76
## DMMclusterdich -4.04668 2.11640 -1.91
## PhysBMI 0.51587 0.11193 4.61
## rxPsych -0.38735 2.32860 -0.17
## rxHTN 2.52847 2.15005 1.18
## rxDiabetes -6.90107 3.44779 -2.00
## rxHypercholesterolemia -8.80632 2.91582 -3.02
## SmokingCurr 0.33867 2.07000 0.16
## AlcoholCurr -3.41656 1.67232 -2.04
## IllicitDrugCurr -1.27254 2.28262 -0.56
## Gini100C:MedianHouseholdIncome2C -0.06366 0.26954 -0.24
## Gini100C:Race -0.07500 0.32308 -0.23
## MedianHouseholdIncome2C:Race 1.97452 2.00064 0.99
## MedianHouseholdIncome2C:I(Gini100C^2) -0.00810 0.01760 -0.46
## Gini100C:MedianHouseholdIncome2C:Race 0.40649 0.34826 1.17
## Pr(>|t|)
## (Intercept) < 2e-16
## Gini100C 0.7871
## MedianHouseholdIncome2C 0.8226
## Race 0.0886
## I(Gini100C^2) 0.6762
## Age0 0.000000007
## Sex 0.0691
## HseHldEducationDich 0.3395
## PovStat 0.2046
## CVDclusterdich 0.0059
## DMMclusterdich 0.0560
## PhysBMI 0.000004328
## rxPsych 0.8679
## rxHTN 0.2397
## rxDiabetes 0.0455
## rxHypercholesterolemia 0.0026
## SmokingCurr 0.8701
## AlcoholCurr 0.0412
## IllicitDrugCurr 0.5773
## Gini100C:MedianHouseholdIncome2C 0.8133
## Gini100C:Race 0.8165
## MedianHouseholdIncome2C:Race 0.3238
## MedianHouseholdIncome2C:I(Gini100C^2) 0.6452
## Gini100C:MedianHouseholdIncome2C:Race 0.2433
##
## Residual standard error: 33.9 on 1867 degrees of freedom
## Multiple R-squared: 0.0691, Adjusted R-squared: 0.0576
## F-statistic: 6.02 on 23 and 1867 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 3 : MedianHouseholdIncome2C:I(Gini100C^2)
## --------
##
## -------------STEP 4 -------------
##
## Call:
## lm(formula = LabResLDLcalcimp ~ Gini100C + MedianHouseholdIncome2C +
## Race + I(Gini100C^2) + Age0 + Sex + HseHldEducationDich +
## PovStat + CVDclusterdich + DMMclusterdich + PhysBMI + rxPsych +
## rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr +
## AlcoholCurr + IllicitDrugCurr + Gini100C:MedianHouseholdIncome2C +
## Gini100C:Race + MedianHouseholdIncome2C:Race + Gini100C:MedianHouseholdIncome2C:Race,
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -94.74 -23.27 -1.82 19.56 153.54
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 75.76158 6.36415 11.90
## Gini100C 0.05349 0.24836 0.22
## MedianHouseholdIncome2C -0.01526 1.53156 -0.01
## Race -3.20117 1.89581 -1.69
## I(Gini100C^2) 0.00962 0.02069 0.46
## Age0 0.55191 0.09455 5.84
## Sex -2.96572 1.64270 -1.81
## HseHldEducationDich 1.67451 1.77439 0.94
## PovStat -2.19726 1.72470 -1.27
## CVDclusterdich -11.81812 4.29136 -2.75
## DMMclusterdich -4.01227 2.11464 -1.90
## PhysBMI 0.51611 0.11191 4.61
## rxPsych -0.33111 2.32491 -0.14
## rxHTN 2.49774 2.14857 1.16
## rxDiabetes -6.90111 3.44706 -2.00
## rxHypercholesterolemia -8.81106 2.91519 -3.02
## SmokingCurr 0.36622 2.06870 0.18
## AlcoholCurr -3.43550 1.67146 -2.06
## IllicitDrugCurr -1.22737 2.28003 -0.54
## Gini100C:MedianHouseholdIncome2C -0.09044 0.26314 -0.34
## Gini100C:Race -0.00996 0.29051 -0.03
## MedianHouseholdIncome2C:Race 2.27304 1.89231 1.20
## Gini100C:MedianHouseholdIncome2C:Race 0.38246 0.34425 1.11
## Pr(>|t|)
## (Intercept) < 2e-16
## Gini100C 0.8295
## MedianHouseholdIncome2C 0.9921
## Race 0.0915
## I(Gini100C^2) 0.6422
## Age0 0.0000000063
## Sex 0.0712
## HseHldEducationDich 0.3454
## PovStat 0.2028
## CVDclusterdich 0.0059
## DMMclusterdich 0.0579
## PhysBMI 0.0000042621
## rxPsych 0.8868
## rxHTN 0.2452
## rxDiabetes 0.0454
## rxHypercholesterolemia 0.0025
## SmokingCurr 0.8595
## AlcoholCurr 0.0400
## IllicitDrugCurr 0.5904
## Gini100C:MedianHouseholdIncome2C 0.7311
## Gini100C:Race 0.9727
## MedianHouseholdIncome2C:Race 0.2298
## Gini100C:MedianHouseholdIncome2C:Race 0.2667
##
## Residual standard error: 33.9 on 1868 degrees of freedom
## Multiple R-squared: 0.0689, Adjusted R-squared: 0.058
## F-statistic: 6.29 on 22 and 1868 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 4 : Gini100C:MedianHouseholdIncome2C:Race
## --------
##
## -------------STEP 5 -------------
##
## Call:
## lm(formula = LabResLDLcalcimp ~ Gini100C + MedianHouseholdIncome2C +
## Race + I(Gini100C^2) + Age0 + Sex + HseHldEducationDich +
## PovStat + CVDclusterdich + DMMclusterdich + PhysBMI + rxPsych +
## rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr +
## AlcoholCurr + IllicitDrugCurr + Gini100C:MedianHouseholdIncome2C +
## Gini100C:Race + MedianHouseholdIncome2C:Race, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -94.54 -23.48 -1.57 19.35 152.52
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 75.978461 6.361550 11.94
## Gini100C 0.022064 0.246762 0.09
## MedianHouseholdIncome2C 0.992259 1.234275 0.80
## Race -3.585067 1.864170 -1.92
## I(Gini100C^2) 0.000168 0.018865 0.01
## Age0 0.556764 0.094459 5.89
## Sex -2.984991 1.642707 -1.82
## HseHldEducationDich 1.638951 1.774214 0.92
## PovStat -2.248349 1.724194 -1.30
## CVDclusterdich -11.889783 4.291142 -2.77
## DMMclusterdich -4.015819 2.114768 -1.90
## PhysBMI 0.516289 0.111917 4.61
## rxPsych -0.413196 2.323878 -0.18
## rxHTN 2.514721 2.148646 1.17
## rxDiabetes -6.939432 3.447105 -2.01
## rxHypercholesterolemia -8.901772 2.914228 -3.05
## SmokingCurr 0.434685 2.067912 0.21
## AlcoholCurr -3.465986 1.671340 -2.07
## IllicitDrugCurr -1.304264 2.279120 -0.57
## Gini100C:MedianHouseholdIncome2C 0.140862 0.160933 0.88
## Gini100C:Race 0.038169 0.287281 0.13
## MedianHouseholdIncome2C:Race 1.578018 1.786023 0.88
## Pr(>|t|)
## (Intercept) < 2e-16
## Gini100C 0.9288
## MedianHouseholdIncome2C 0.4215
## Race 0.0546
## I(Gini100C^2) 0.9929
## Age0 0.0000000045
## Sex 0.0694
## HseHldEducationDich 0.3557
## PovStat 0.1924
## CVDclusterdich 0.0056
## DMMclusterdich 0.0577
## PhysBMI 0.0000042356
## rxPsych 0.8589
## rxHTN 0.2420
## rxDiabetes 0.0442
## rxHypercholesterolemia 0.0023
## SmokingCurr 0.8335
## AlcoholCurr 0.0382
## IllicitDrugCurr 0.5672
## Gini100C:MedianHouseholdIncome2C 0.3815
## Gini100C:Race 0.8943
## MedianHouseholdIncome2C:Race 0.3771
##
## Residual standard error: 33.9 on 1869 degrees of freedom
## Multiple R-squared: 0.0683, Adjusted R-squared: 0.0579
## F-statistic: 6.53 on 21 and 1869 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 5 : I(Gini100C^2)
## --------
##
## -------------STEP 6 -------------
##
## Call:
## lm(formula = LabResLDLcalcimp ~ Gini100C + MedianHouseholdIncome2C +
## Race + Age0 + Sex + HseHldEducationDich + PovStat + CVDclusterdich +
## DMMclusterdich + PhysBMI + rxPsych + rxHTN + rxDiabetes +
## rxHypercholesterolemia + SmokingCurr + AlcoholCurr + IllicitDrugCurr +
## Gini100C:MedianHouseholdIncome2C + Gini100C:Race + MedianHouseholdIncome2C:Race,
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -94.54 -23.48 -1.57 19.34 152.52
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 75.9866 6.2940 12.07 < 2e-16
## Gini100C 0.0233 0.1999 0.12 0.9070
## MedianHouseholdIncome2C 0.9911 1.2266 0.81 0.4192
## Race -3.5890 1.8109 -1.98 0.0476
## Age0 0.5568 0.0944 5.90 0.0000000044
## Sex -2.9844 1.6411 -1.82 0.0691
## HseHldEducationDich 1.6402 1.7683 0.93 0.3538
## PovStat -2.2480 1.7232 -1.30 0.1922
## CVDclusterdich -11.8884 4.2872 -2.77 0.0056
## DMMclusterdich -4.0153 2.1133 -1.90 0.0576
## PhysBMI 0.5162 0.1117 4.62 0.0000040355
## rxPsych -0.4123 2.3208 -0.18 0.8590
## rxHTN 2.5141 2.1471 1.17 0.2418
## rxDiabetes -6.9403 3.4448 -2.01 0.0441
## rxHypercholesterolemia -8.9014 2.9132 -3.06 0.0023
## SmokingCurr 0.4346 2.0673 0.21 0.8335
## AlcoholCurr -3.4656 1.6703 -2.07 0.0381
## IllicitDrugCurr -1.3032 2.2753 -0.57 0.5669
## Gini100C:MedianHouseholdIncome2C 0.1402 0.1428 0.98 0.3262
## Gini100C:Race 0.0380 0.2864 0.13 0.8945
## MedianHouseholdIncome2C:Race 1.5817 1.7359 0.91 0.3623
##
## Residual standard error: 33.9 on 1870 degrees of freedom
## Multiple R-squared: 0.0683, Adjusted R-squared: 0.0584
## F-statistic: 6.86 on 20 and 1870 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 6 : Gini100C:Race
## --------
##
## -------------STEP 7 -------------
##
## Call:
## lm(formula = LabResLDLcalcimp ~ Gini100C + MedianHouseholdIncome2C +
## Race + Age0 + Sex + HseHldEducationDich + PovStat + CVDclusterdich +
## DMMclusterdich + PhysBMI + rxPsych + rxHTN + rxDiabetes +
## rxHypercholesterolemia + SmokingCurr + AlcoholCurr + IllicitDrugCurr +
## Gini100C:MedianHouseholdIncome2C + MedianHouseholdIncome2C:Race,
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -94.53 -23.47 -1.77 19.34 152.44
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 75.9437 6.2841 12.09 < 2e-16
## Gini100C 0.0436 0.1289 0.34 0.7351
## MedianHouseholdIncome2C 0.9821 1.2244 0.80 0.4226
## Race -3.6211 1.7941 -2.02 0.0437
## Age0 0.5574 0.0943 5.91 0.0000000041
## Sex -2.9768 1.6397 -1.82 0.0696
## HseHldEducationDich 1.6302 1.7662 0.92 0.3561
## PovStat -2.2126 1.7020 -1.30 0.1938
## CVDclusterdich -11.8864 4.2861 -2.77 0.0056
## DMMclusterdich -4.0256 2.1113 -1.91 0.0567
## PhysBMI 0.5173 0.1113 4.65 0.0000035906
## rxPsych -0.4130 2.3202 -0.18 0.8588
## rxHTN 2.5028 2.1448 1.17 0.2434
## rxDiabetes -6.9226 3.4413 -2.01 0.0444
## rxHypercholesterolemia -8.9061 2.9122 -3.06 0.0023
## SmokingCurr 0.4268 2.0660 0.21 0.8364
## AlcoholCurr -3.4728 1.6689 -2.08 0.0376
## IllicitDrugCurr -1.2971 2.2742 -0.57 0.5685
## Gini100C:MedianHouseholdIncome2C 0.1328 0.1312 1.01 0.3119
## MedianHouseholdIncome2C:Race 1.5614 1.7286 0.90 0.3665
##
## Residual standard error: 33.9 on 1871 degrees of freedom
## Multiple R-squared: 0.0683, Adjusted R-squared: 0.0589
## F-statistic: 7.22 on 19 and 1871 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 7 : MedianHouseholdIncome2C:Race
## --------
##
## -------------STEP 8 -------------
##
## Call:
## lm(formula = LabResLDLcalcimp ~ Gini100C + MedianHouseholdIncome2C +
## Race + Age0 + Sex + HseHldEducationDich + PovStat + CVDclusterdich +
## DMMclusterdich + PhysBMI + rxPsych + rxHTN + rxDiabetes +
## rxHypercholesterolemia + SmokingCurr + AlcoholCurr + IllicitDrugCurr +
## Gini100C:MedianHouseholdIncome2C, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -94.85 -23.46 -1.71 19.04 153.71
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 75.3833 6.2530 12.06 < 2e-16
## Gini100C 0.0311 0.1281 0.24 0.8081
## MedianHouseholdIncome2C 1.8262 0.7911 2.31 0.0211
## Race -3.2740 1.7524 -1.87 0.0619
## Age0 0.5572 0.0943 5.91 0.0000000041
## Sex -2.9539 1.6394 -1.80 0.0717
## HseHldEducationDich 1.6676 1.7657 0.94 0.3451
## PovStat -2.0976 1.6971 -1.24 0.2166
## CVDclusterdich -11.8011 4.2848 -2.75 0.0059
## DMMclusterdich -3.9812 2.1106 -1.89 0.0594
## PhysBMI 0.5240 0.1111 4.72 0.0000025531
## rxPsych -0.4274 2.3200 -0.18 0.8539
## rxHTN 2.4625 2.1443 1.15 0.2509
## rxDiabetes -6.9799 3.4405 -2.03 0.0426
## rxHypercholesterolemia -8.9476 2.9117 -3.07 0.0021
## SmokingCurr 0.3823 2.0653 0.19 0.8532
## AlcoholCurr -3.4811 1.6688 -2.09 0.0371
## IllicitDrugCurr -1.2484 2.2734 -0.55 0.5830
## Gini100C:MedianHouseholdIncome2C 0.1967 0.1105 1.78 0.0753
##
## Residual standard error: 33.9 on 1872 degrees of freedom
## Multiple R-squared: 0.0679, Adjusted R-squared: 0.059
## F-statistic: 7.58 on 18 and 1872 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 8 : Gini100C:MedianHouseholdIncome2C
## --------
##
## -------------STEP 9 -------------
##
## Call:
## lm(formula = LabResLDLcalcimp ~ Gini100C + MedianHouseholdIncome2C +
## Race + Age0 + Sex + HseHldEducationDich + PovStat + CVDclusterdich +
## DMMclusterdich + PhysBMI + rxPsych + rxHTN + rxDiabetes +
## rxHypercholesterolemia + SmokingCurr + AlcoholCurr + IllicitDrugCurr,
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -94.4 -23.6 -1.7 19.1 153.2
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 74.85866 6.24970 11.98 < 2e-16
## Gini100C 0.00447 0.12730 0.04 0.9720
## MedianHouseholdIncome2C 1.61195 0.78236 2.06 0.0395
## Race -3.56668 1.74569 -2.04 0.0412
## Age0 0.55337 0.09433 5.87 0.0000000053
## Sex -3.09004 1.63857 -1.89 0.0595
## HseHldEducationDich 1.87992 1.76265 1.07 0.2863
## PovStat -2.21798 1.69676 -1.31 0.1913
## CVDclusterdich -12.00494 4.28579 -2.80 0.0051
## DMMclusterdich -4.16460 2.10931 -1.97 0.0485
## PhysBMI 0.53483 0.11096 4.82 0.0000015500
## rxPsych -0.53069 2.32065 -0.23 0.8191
## rxHTN 2.40783 2.14527 1.12 0.2618
## rxDiabetes -6.72539 3.43955 -1.96 0.0507
## rxHypercholesterolemia -8.98820 2.91330 -3.09 0.0021
## SmokingCurr 0.35355 2.06640 0.17 0.8642
## AlcoholCurr -3.35895 1.66838 -2.01 0.0442
## IllicitDrugCurr -1.36901 2.27374 -0.60 0.5472
##
## Residual standard error: 33.9 on 1873 degrees of freedom
## Multiple R-squared: 0.0663, Adjusted R-squared: 0.0579
## F-statistic: 7.83 on 17 and 1873 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 9 : Gini100C
## --------
## Warning: All variables have been thrown out of the model.
## No model could be specified.
## ***************** END Backward Elimination: LabResLDLcalcimp *****************************
##
##
## ************************************************************
## ************************************************************
## BEGIN: LabResHDLimp
## ************************************************************
## ************************************************************
## -------------STEP 1 -------------
##
## Call:
## lm(formula = "LabResHDLimp ~ Gini100C*MedianHouseholdIncome2C*Race + I(Gini100C^2)*MedianHouseholdIncome2C*Race + Age0 + Sex + Race + HseHldEducationDich + PovStat + CVDclusterdich + DMMclusterdich + PhysBMI + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C",
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -50.91 -9.68 -1.89 7.57 113.90
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 62.22785 2.95640 21.05
## Gini100C 0.30664 0.12570 2.44
## MedianHouseholdIncome2C 1.02169 1.02401 1.00
## Race 5.51693 1.13299 4.87
## I(Gini100C^2) -0.00716 0.01426 -0.50
## Age0 0.18103 0.04334 4.18
## Sex -9.73361 0.75305 -12.93
## HseHldEducationDich 0.12746 0.81424 0.16
## PovStat 0.57772 0.79050 0.73
## CVDclusterdich -4.56410 1.96449 -2.32
## DMMclusterdich -2.72478 0.97092 -2.81
## PhysBMI -0.61924 0.05124 -12.09
## rxPsych -1.69085 1.06635 -1.59
## rxHTN -0.11100 0.98462 -0.11
## rxDiabetes -1.14986 1.58067 -0.73
## rxHypercholesterolemia 0.07027 1.33455 0.05
## SmokingCurr 1.18922 0.94809 1.25
## AlcoholCurr 4.11102 0.76735 5.36
## IllicitDrugCurr 2.39777 1.04507 2.29
## Gini100C:MedianHouseholdIncome2C -0.02195 0.12973 -0.17
## Gini100C:Race -0.30966 0.17683 -1.75
## MedianHouseholdIncome2C:Race -2.69477 1.21372 -2.22
## MedianHouseholdIncome2C:I(Gini100C^2) -0.01434 0.01649 -0.87
## Race:I(Gini100C^2) 0.00528 0.02184 0.24
## Gini100C:MedianHouseholdIncome2C:Race 0.01690 0.17606 0.10
## MedianHouseholdIncome2C:Race:I(Gini100C^2) 0.02246 0.01989 1.13
## Pr(>|t|)
## (Intercept) < 2e-16
## Gini100C 0.0148
## MedianHouseholdIncome2C 0.3185
## Race 0.000001214
## I(Gini100C^2) 0.6156
## Age0 0.000030877
## Sex < 2e-16
## HseHldEducationDich 0.8756
## PovStat 0.4650
## CVDclusterdich 0.0203
## DMMclusterdich 0.0051
## PhysBMI < 2e-16
## rxPsych 0.1130
## rxHTN 0.9103
## rxDiabetes 0.4670
## rxHypercholesterolemia 0.9580
## SmokingCurr 0.2099
## AlcoholCurr 0.000000095
## IllicitDrugCurr 0.0219
## Gini100C:MedianHouseholdIncome2C 0.8657
## Gini100C:Race 0.0801
## MedianHouseholdIncome2C:Race 0.0265
## MedianHouseholdIncome2C:I(Gini100C^2) 0.3843
## Race:I(Gini100C^2) 0.8089
## Gini100C:MedianHouseholdIncome2C:Race 0.9235
## MedianHouseholdIncome2C:Race:I(Gini100C^2) 0.2589
##
## Residual standard error: 15.5 on 1865 degrees of freedom
## Multiple R-squared: 0.205, Adjusted R-squared: 0.194
## F-statistic: 19.2 on 25 and 1865 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 1 : MedianHouseholdIncome2C:Race:I(Gini100C^2)
## --------
##
## -------------STEP 2 -------------
##
## Call:
## lm(formula = LabResHDLimp ~ Gini100C + MedianHouseholdIncome2C +
## Race + I(Gini100C^2) + Age0 + Sex + HseHldEducationDich +
## PovStat + CVDclusterdich + DMMclusterdich + PhysBMI + rxPsych +
## rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr +
## AlcoholCurr + IllicitDrugCurr + Gini100C:MedianHouseholdIncome2C +
## Gini100C:Race + MedianHouseholdIncome2C:Race + MedianHouseholdIncome2C:I(Gini100C^2) +
## Race:I(Gini100C^2) + Gini100C:MedianHouseholdIncome2C:Race,
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -51.29 -9.56 -1.94 7.67 113.69
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 62.43414 2.95097 21.16
## Gini100C 0.32529 0.12462 2.61
## MedianHouseholdIncome2C 0.32968 0.82050 0.40
## Race 5.52969 1.13302 4.88
## I(Gini100C^2) -0.01323 0.01320 -1.00
## Age0 0.17925 0.04331 4.14
## Sex -9.71571 0.75294 -12.90
## HseHldEducationDich 0.15832 0.81385 0.19
## PovStat 0.58699 0.79051 0.74
## CVDclusterdich -4.55738 1.96463 -2.32
## DMMclusterdich -2.71367 0.97095 -2.79
## PhysBMI -0.61994 0.05124 -12.10
## rxPsych -1.67415 1.06633 -1.57
## rxHTN -0.07237 0.98410 -0.07
## rxDiabetes -1.13147 1.58071 -0.72
## rxHypercholesterolemia 0.08301 1.33460 0.06
## SmokingCurr 1.16221 0.94786 1.23
## AlcoholCurr 4.14496 0.76682 5.41
## IllicitDrugCurr 2.37019 1.04487 2.27
## Gini100C:MedianHouseholdIncome2C -0.06682 0.12351 -0.54
## Gini100C:Race -0.34626 0.17385 -1.99
## MedianHouseholdIncome2C:Race -1.81751 0.93264 -1.95
## MedianHouseholdIncome2C:I(Gini100C^2) 0.00110 0.00921 0.12
## Race:I(Gini100C^2) 0.00601 0.02183 0.28
## Gini100C:MedianHouseholdIncome2C:Race 0.07896 0.16728 0.47
## Pr(>|t|)
## (Intercept) < 2e-16
## Gini100C 0.0091
## MedianHouseholdIncome2C 0.6879
## Race 0.000001148
## I(Gini100C^2) 0.3165
## Age0 0.000036512
## Sex < 2e-16
## HseHldEducationDich 0.8458
## PovStat 0.4578
## CVDclusterdich 0.0205
## DMMclusterdich 0.0052
## PhysBMI < 2e-16
## rxPsych 0.1166
## rxHTN 0.9414
## rxDiabetes 0.4742
## rxHypercholesterolemia 0.9504
## SmokingCurr 0.2203
## AlcoholCurr 0.000000073
## IllicitDrugCurr 0.0234
## Gini100C:MedianHouseholdIncome2C 0.5885
## Gini100C:Race 0.0465
## MedianHouseholdIncome2C:Race 0.0515
## MedianHouseholdIncome2C:I(Gini100C^2) 0.9051
## Race:I(Gini100C^2) 0.7831
## Gini100C:MedianHouseholdIncome2C:Race 0.6370
##
## Residual standard error: 15.5 on 1866 degrees of freedom
## Multiple R-squared: 0.204, Adjusted R-squared: 0.194
## F-statistic: 20 on 24 and 1866 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 2 : MedianHouseholdIncome2C:I(Gini100C^2)
## --------
##
## -------------STEP 3 -------------
##
## Call:
## lm(formula = LabResHDLimp ~ Gini100C + MedianHouseholdIncome2C +
## Race + I(Gini100C^2) + Age0 + Sex + HseHldEducationDich +
## PovStat + CVDclusterdich + DMMclusterdich + PhysBMI + rxPsych +
## rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr +
## AlcoholCurr + IllicitDrugCurr + Gini100C:MedianHouseholdIncome2C +
## Gini100C:Race + MedianHouseholdIncome2C:Race + Race:I(Gini100C^2) +
## Gini100C:MedianHouseholdIncome2C:Race, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -51.35 -9.58 -1.93 7.69 113.66
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 62.42990 2.94997 21.16
## Gini100C 0.32392 0.12406 2.61
## MedianHouseholdIncome2C 0.37907 0.70801 0.54
## Race 5.56840 1.08517 5.13
## I(Gini100C^2) -0.01280 0.01269 -1.01
## Age0 0.17908 0.04328 4.14
## Sex -9.71657 0.75270 -12.91
## HseHldEducationDich 0.15798 0.81363 0.19
## PovStat 0.58566 0.79023 0.74
## CVDclusterdich -4.55806 1.96410 -2.32
## DMMclusterdich -2.71341 0.97069 -2.80
## PhysBMI -0.61992 0.05122 -12.10
## rxPsych -1.67805 1.06555 -1.57
## rxHTN -0.06888 0.98341 -0.07
## rxDiabetes -1.13674 1.57967 -0.72
## rxHypercholesterolemia 0.08395 1.33423 0.06
## SmokingCurr 1.15774 0.94687 1.22
## AlcoholCurr 4.14959 0.76563 5.42
## IllicitDrugCurr 2.36635 1.04409 2.27
## Gini100C:MedianHouseholdIncome2C -0.06371 0.12069 -0.53
## Gini100C:Race -0.34772 0.17337 -2.01
## MedianHouseholdIncome2C:Race -1.83822 0.91607 -2.01
## Race:I(Gini100C^2) 0.00475 0.01909 0.25
## Gini100C:MedianHouseholdIncome2C:Race 0.07852 0.16719 0.47
## Pr(>|t|)
## (Intercept) < 2e-16
## Gini100C 0.0091
## MedianHouseholdIncome2C 0.5924
## Race 0.000000318
## I(Gini100C^2) 0.3134
## Age0 0.000036606
## Sex < 2e-16
## HseHldEducationDich 0.8461
## PovStat 0.4587
## CVDclusterdich 0.0204
## DMMclusterdich 0.0052
## PhysBMI < 2e-16
## rxPsych 0.1155
## rxHTN 0.9442
## rxDiabetes 0.4719
## rxHypercholesterolemia 0.9498
## SmokingCurr 0.2216
## AlcoholCurr 0.000000067
## IllicitDrugCurr 0.0235
## Gini100C:MedianHouseholdIncome2C 0.5976
## Gini100C:Race 0.0450
## MedianHouseholdIncome2C:Race 0.0449
## Race:I(Gini100C^2) 0.8036
## Gini100C:MedianHouseholdIncome2C:Race 0.6387
##
## Residual standard error: 15.5 on 1867 degrees of freedom
## Multiple R-squared: 0.204, Adjusted R-squared: 0.195
## F-statistic: 20.9 on 23 and 1867 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 3 : Race:I(Gini100C^2)
## --------
##
## -------------STEP 4 -------------
##
## Call:
## lm(formula = LabResHDLimp ~ Gini100C + MedianHouseholdIncome2C +
## Race + I(Gini100C^2) + Age0 + Sex + HseHldEducationDich +
## PovStat + CVDclusterdich + DMMclusterdich + PhysBMI + rxPsych +
## rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr +
## AlcoholCurr + IllicitDrugCurr + Gini100C:MedianHouseholdIncome2C +
## Gini100C:Race + MedianHouseholdIncome2C:Race + Gini100C:MedianHouseholdIncome2C:Race,
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -51.22 -9.56 -1.90 7.65 113.58
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 62.31369 2.91201 21.40
## Gini100C 0.31156 0.11364 2.74
## MedianHouseholdIncome2C 0.35428 0.70079 0.51
## Race 5.73051 0.86746 6.61
## I(Gini100C^2) -0.01070 0.00947 -1.13
## Age0 0.17921 0.04326 4.14
## Sex -9.70755 0.75164 -12.92
## HseHldEducationDich 0.14560 0.81190 0.18
## PovStat 0.57646 0.78916 0.73
## CVDclusterdich -4.55526 1.96357 -2.32
## DMMclusterdich -2.69489 0.96758 -2.79
## PhysBMI -0.61973 0.05121 -12.10
## rxPsych -1.66407 1.06379 -1.56
## rxHTN -0.07141 0.98311 -0.07
## rxDiabetes -1.15661 1.57725 -0.73
## rxHypercholesterolemia 0.08505 1.33389 0.06
## SmokingCurr 1.15495 0.94656 1.22
## AlcoholCurr 4.15737 0.76480 5.44
## IllicitDrugCurr 2.37494 1.04326 2.28
## Gini100C:MedianHouseholdIncome2C -0.06566 0.12040 -0.55
## Gini100C:Race -0.32004 0.13293 -2.41
## MedianHouseholdIncome2C:Race -1.76397 0.86586 -2.04
## Gini100C:MedianHouseholdIncome2C:Race 0.06461 0.15752 0.41
## Pr(>|t|)
## (Intercept) < 2e-16
## Gini100C 0.0062
## MedianHouseholdIncome2C 0.6132
## Race 0.000000000051
## I(Gini100C^2) 0.2588
## Age0 0.000035940415
## Sex < 2e-16
## HseHldEducationDich 0.8577
## PovStat 0.4652
## CVDclusterdich 0.0205
## DMMclusterdich 0.0054
## PhysBMI < 2e-16
## rxPsych 0.1179
## rxHTN 0.9421
## rxDiabetes 0.4635
## rxHypercholesterolemia 0.9492
## SmokingCurr 0.2226
## AlcoholCurr 0.000000061684
## IllicitDrugCurr 0.0229
## Gini100C:MedianHouseholdIncome2C 0.5856
## Gini100C:Race 0.0162
## MedianHouseholdIncome2C:Race 0.0418
## Gini100C:MedianHouseholdIncome2C:Race 0.6817
##
## Residual standard error: 15.5 on 1868 degrees of freedom
## Multiple R-squared: 0.204, Adjusted R-squared: 0.195
## F-statistic: 21.8 on 22 and 1868 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 4 : Gini100C:MedianHouseholdIncome2C:Race
## --------
##
## -------------STEP 5 -------------
##
## Call:
## lm(formula = LabResHDLimp ~ Gini100C + MedianHouseholdIncome2C +
## Race + I(Gini100C^2) + Age0 + Sex + HseHldEducationDich +
## PovStat + CVDclusterdich + DMMclusterdich + PhysBMI + rxPsych +
## rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr +
## AlcoholCurr + IllicitDrugCurr + Gini100C:MedianHouseholdIncome2C +
## Gini100C:Race + MedianHouseholdIncome2C:Race, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -51.32 -9.61 -1.87 7.60 113.59
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 62.35033 2.90999 21.43 < 2e-16
## Gini100C 0.30626 0.11288 2.71 0.0067
## MedianHouseholdIncome2C 0.52448 0.56460 0.93 0.3530
## Race 5.66566 0.85273 6.64 0.00000000004
## I(Gini100C^2) -0.01229 0.00863 -1.42 0.1545
## Age0 0.18003 0.04321 4.17 0.00003234662
## Sex -9.71081 0.75143 -12.92 < 2e-16
## HseHldEducationDich 0.13959 0.81159 0.17 0.8635
## PovStat 0.56783 0.78871 0.72 0.4716
## CVDclusterdich -4.56736 1.96291 -2.33 0.0201
## DMMclusterdich -2.69549 0.96737 -2.79 0.0054
## PhysBMI -0.61970 0.05119 -12.10 < 2e-16
## rxPsych -1.67793 1.06302 -1.58 0.1146
## rxHTN -0.06854 0.98286 -0.07 0.9444
## rxDiabetes -1.16308 1.57682 -0.74 0.4608
## rxHypercholesterolemia 0.06973 1.33307 0.05 0.9583
## SmokingCurr 1.16651 0.94593 1.23 0.2177
## AlcoholCurr 4.15222 0.76453 5.43 0.00000006333
## IllicitDrugCurr 2.36195 1.04255 2.27 0.0236
## Gini100C:MedianHouseholdIncome2C -0.02658 0.07362 -0.36 0.7181
## Gini100C:Race -0.31191 0.13141 -2.37 0.0177
## MedianHouseholdIncome2C:Race -1.88138 0.81699 -2.30 0.0214
##
## Residual standard error: 15.5 on 1869 degrees of freedom
## Multiple R-squared: 0.204, Adjusted R-squared: 0.195
## F-statistic: 22.9 on 21 and 1869 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 5 : Gini100C:MedianHouseholdIncome2C
## --------
##
## -------------STEP 6 -------------
##
## Call:
## lm(formula = LabResHDLimp ~ Gini100C + MedianHouseholdIncome2C +
## Race + I(Gini100C^2) + Age0 + Sex + HseHldEducationDich +
## PovStat + CVDclusterdich + DMMclusterdich + PhysBMI + rxPsych +
## rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr +
## AlcoholCurr + IllicitDrugCurr + Gini100C:Race + MedianHouseholdIncome2C:Race,
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -51.18 -9.56 -1.92 7.57 113.58
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 62.28770 2.90414 21.45 < 2e-16
## Gini100C 0.28714 0.09967 2.88 0.0040
## MedianHouseholdIncome2C 0.62026 0.49830 1.24 0.2134
## Race 5.75979 0.81172 7.10 0.0000000000018
## I(Gini100C^2) -0.01085 0.00765 -1.42 0.1564
## Age0 0.17994 0.04320 4.17 0.0000325003169
## Sex -9.70826 0.75122 -12.92 < 2e-16
## HseHldEducationDich 0.12279 0.81006 0.15 0.8795
## PovStat 0.56620 0.78851 0.72 0.4728
## CVDclusterdich -4.56006 1.96235 -2.32 0.0202
## DMMclusterdich -2.68053 0.96625 -2.77 0.0056
## PhysBMI -0.61979 0.05118 -12.11 < 2e-16
## rxPsych -1.68031 1.06275 -1.58 0.1140
## rxHTN -0.05843 0.98224 -0.06 0.9526
## rxDiabetes -1.18413 1.57538 -0.75 0.4524
## rxHypercholesterolemia 0.06807 1.33275 0.05 0.9593
## SmokingCurr 1.16876 0.94569 1.24 0.2167
## AlcoholCurr 4.14338 0.76396 5.42 0.0000000660127
## IllicitDrugCurr 2.36162 1.04230 2.27 0.0236
## Gini100C:Race -0.29379 0.12142 -2.42 0.0156
## MedianHouseholdIncome2C:Race -2.03017 0.70531 -2.88 0.0040
##
## Residual standard error: 15.5 on 1870 degrees of freedom
## Multiple R-squared: 0.204, Adjusted R-squared: 0.196
## F-statistic: 24 on 20 and 1870 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 6 : I(Gini100C^2)
## --------
##
## -------------STEP 7 -------------
##
## Call:
## lm(formula = LabResHDLimp ~ Gini100C + MedianHouseholdIncome2C +
## Race + Age0 + Sex + HseHldEducationDich + PovStat + CVDclusterdich +
## DMMclusterdich + PhysBMI + rxPsych + rxHTN + rxDiabetes +
## rxHypercholesterolemia + SmokingCurr + AlcoholCurr + IllicitDrugCurr +
## Gini100C:Race + MedianHouseholdIncome2C:Race, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -52.26 -9.69 -2.07 7.58 114.08
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 61.7481 2.8799 21.44 < 2e-16
## Gini100C 0.2205 0.0879 2.51 0.0122
## MedianHouseholdIncome2C 0.5230 0.4937 1.06 0.2896
## Race 5.8897 0.8068 7.30 4.2e-13
## Age0 0.1794 0.0432 4.15 3.4e-05
## Sex -9.7582 0.7506 -13.00 < 2e-16
## HseHldEducationDich 0.0556 0.8089 0.07 0.9452
## PovStat 0.5388 0.7885 0.68 0.4945
## CVDclusterdich -4.6872 1.9608 -2.39 0.0169
## DMMclusterdich -2.7570 0.9650 -2.86 0.0043
## PhysBMI -0.6144 0.0511 -12.03 < 2e-16
## rxPsych -1.7533 1.0618 -1.65 0.0989
## rxHTN -0.0318 0.9823 -0.03 0.9742
## rxDiabetes -1.0693 1.5737 -0.68 0.4969
## rxHypercholesterolemia 0.0432 1.3330 0.03 0.9742
## SmokingCurr 1.1700 0.9459 1.24 0.2163
## AlcoholCurr 4.1278 0.7641 5.40 7.4e-08
## IllicitDrugCurr 2.2732 1.0407 2.18 0.0291
## Gini100C:Race -0.3151 0.1205 -2.61 0.0090
## MedianHouseholdIncome2C:Race -2.0323 0.7055 -2.88 0.0040
##
## Residual standard error: 15.5 on 1871 degrees of freedom
## Multiple R-squared: 0.203, Adjusted R-squared: 0.195
## F-statistic: 25.1 on 19 and 1871 DF, p-value: <2e-16
##
## ***************** END Backward Elimination: LabResHDLimp *****************************
##
##
## ************************************************************
## ************************************************************
## BEGIN: LabResHDLimplog
## ************************************************************
## ************************************************************
## -------------STEP 1 -------------
##
## Call:
## lm(formula = "LabResHDLimplog ~ Gini100C*MedianHouseholdIncome2C*Race + I(Gini100C^2)*MedianHouseholdIncome2C*Race + Age0 + Sex + Race + HseHldEducationDich + PovStat + CVDclusterdich + DMMclusterdich + PhysBMI + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C",
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.6931 -0.0712 -0.0003 0.0723 0.5670
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 1.7790635 0.0219527 81.04
## Gini100C 0.0024385 0.0009334 2.61
## MedianHouseholdIncome2C 0.0086986 0.0076038 1.14
## Race 0.0415139 0.0084130 4.93
## I(Gini100C^2) -0.0000344 0.0001059 -0.33
## Age0 0.0014425 0.0003218 4.48
## Sex -0.0808412 0.0055917 -14.46
## HseHldEducationDich 0.0011690 0.0060462 0.19
## PovStat 0.0002829 0.0058698 0.05
## CVDclusterdich -0.0400088 0.0145873 -2.74
## DMMclusterdich -0.0183894 0.0072096 -2.55
## PhysBMI -0.0045394 0.0003805 -11.93
## rxPsych -0.0126852 0.0079182 -1.60
## rxHTN -0.0036128 0.0073113 -0.49
## rxDiabetes -0.0125025 0.0117373 -1.07
## rxHypercholesterolemia -0.0002398 0.0099097 -0.02
## SmokingCurr 0.0102156 0.0070401 1.45
## AlcoholCurr 0.0315267 0.0056980 5.53
## IllicitDrugCurr 0.0190083 0.0077602 2.45
## Gini100C:MedianHouseholdIncome2C 0.0001016 0.0009633 0.11
## Gini100C:Race -0.0025798 0.0013130 -1.96
## MedianHouseholdIncome2C:Race -0.0215146 0.0090125 -2.39
## MedianHouseholdIncome2C:I(Gini100C^2) -0.0001393 0.0001224 -1.14
## Race:I(Gini100C^2) 0.0000628 0.0001621 0.39
## Gini100C:MedianHouseholdIncome2C:Race -0.0003220 0.0013073 -0.25
## MedianHouseholdIncome2C:Race:I(Gini100C^2) 0.0002417 0.0001477 1.64
## Pr(>|t|)
## (Intercept) < 2e-16
## Gini100C 0.0091
## MedianHouseholdIncome2C 0.2528
## Race 0.000000875
## I(Gini100C^2) 0.7452
## Age0 0.000007829
## Sex < 2e-16
## HseHldEducationDich 0.8467
## PovStat 0.9616
## CVDclusterdich 0.0062
## DMMclusterdich 0.0108
## PhysBMI < 2e-16
## rxPsych 0.1093
## rxHTN 0.6213
## rxDiabetes 0.2869
## rxHypercholesterolemia 0.9807
## SmokingCurr 0.1469
## AlcoholCurr 0.000000036
## IllicitDrugCurr 0.0144
## Gini100C:MedianHouseholdIncome2C 0.9160
## Gini100C:Race 0.0496
## MedianHouseholdIncome2C:Race 0.0171
## MedianHouseholdIncome2C:I(Gini100C^2) 0.2553
## Race:I(Gini100C^2) 0.6987
## Gini100C:MedianHouseholdIncome2C:Race 0.8055
## MedianHouseholdIncome2C:Race:I(Gini100C^2) 0.1019
##
## Residual standard error: 0.115 on 1865 degrees of freedom
## Multiple R-squared: 0.221, Adjusted R-squared: 0.211
## F-statistic: 21.2 on 25 and 1865 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 1 : MedianHouseholdIncome2C:Race:I(Gini100C^2)
## --------
##
## -------------STEP 2 -------------
##
## Call:
## lm(formula = LabResHDLimplog ~ Gini100C + MedianHouseholdIncome2C +
## Race + I(Gini100C^2) + Age0 + Sex + HseHldEducationDich +
## PovStat + CVDclusterdich + DMMclusterdich + PhysBMI + rxPsych +
## rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr +
## AlcoholCurr + IllicitDrugCurr + Gini100C:MedianHouseholdIncome2C +
## Gini100C:Race + MedianHouseholdIncome2C:Race + MedianHouseholdIncome2C:I(Gini100C^2) +
## Race:I(Gini100C^2) + Gini100C:MedianHouseholdIncome2C:Race,
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.6972 -0.0717 -0.0006 0.0726 0.5624
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 1.7812829 0.0219206 81.26
## Gini100C 0.0026391 0.0009257 2.85
## MedianHouseholdIncome2C 0.0012534 0.0060949 0.21
## Race 0.0416511 0.0084164 4.95
## I(Gini100C^2) -0.0000997 0.0000981 -1.02
## Age0 0.0014233 0.0003217 4.42
## Sex -0.0806486 0.0055930 -14.42
## HseHldEducationDich 0.0015010 0.0060455 0.25
## PovStat 0.0003827 0.0058722 0.07
## CVDclusterdich -0.0399365 0.0145938 -2.74
## DMMclusterdich -0.0182699 0.0072125 -2.53
## PhysBMI -0.0045469 0.0003806 -11.95
## rxPsych -0.0125055 0.0079210 -1.58
## rxHTN -0.0031972 0.0073102 -0.44
## rxDiabetes -0.0123046 0.0117419 -1.05
## rxHypercholesterolemia -0.0001027 0.0099138 -0.01
## SmokingCurr 0.0099249 0.0070410 1.41
## AlcoholCurr 0.0318918 0.0056961 5.60
## IllicitDrugCurr 0.0187115 0.0077615 2.41
## Gini100C:MedianHouseholdIncome2C -0.0003812 0.0009174 -0.42
## Gini100C:Race -0.0029735 0.0012914 -2.30
## MedianHouseholdIncome2C:Race -0.0120762 0.0069279 -1.74
## MedianHouseholdIncome2C:I(Gini100C^2) 0.0000268 0.0000684 0.39
## Race:I(Gini100C^2) 0.0000706 0.0001621 0.44
## Gini100C:MedianHouseholdIncome2C:Race 0.0003457 0.0012426 0.28
## Pr(>|t|)
## (Intercept) < 2e-16
## Gini100C 0.0044
## MedianHouseholdIncome2C 0.8371
## Race 0.000000814
## I(Gini100C^2) 0.3094
## Age0 0.000010257
## Sex < 2e-16
## HseHldEducationDich 0.8039
## PovStat 0.9480
## CVDclusterdich 0.0063
## DMMclusterdich 0.0114
## PhysBMI < 2e-16
## rxPsych 0.1146
## rxHTN 0.6619
## rxDiabetes 0.2948
## rxHypercholesterolemia 0.9917
## SmokingCurr 0.1588
## AlcoholCurr 0.000000025
## IllicitDrugCurr 0.0160
## Gini100C:MedianHouseholdIncome2C 0.6778
## Gini100C:Race 0.0214
## MedianHouseholdIncome2C:Race 0.0815
## MedianHouseholdIncome2C:I(Gini100C^2) 0.6949
## Race:I(Gini100C^2) 0.6634
## Gini100C:MedianHouseholdIncome2C:Race 0.7809
##
## Residual standard error: 0.115 on 1866 degrees of freedom
## Multiple R-squared: 0.22, Adjusted R-squared: 0.21
## F-statistic: 21.9 on 24 and 1866 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 2 : Gini100C:MedianHouseholdIncome2C:Race
## --------
##
## -------------STEP 3 -------------
##
## Call:
## lm(formula = LabResHDLimplog ~ Gini100C + MedianHouseholdIncome2C +
## Race + I(Gini100C^2) + Age0 + Sex + HseHldEducationDich +
## PovStat + CVDclusterdich + DMMclusterdich + PhysBMI + rxPsych +
## rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr +
## AlcoholCurr + IllicitDrugCurr + Gini100C:MedianHouseholdIncome2C +
## Gini100C:Race + MedianHouseholdIncome2C:Race + MedianHouseholdIncome2C:I(Gini100C^2) +
## Race:I(Gini100C^2), data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.6974 -0.0715 -0.0005 0.0724 0.5632
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 1.7811322 0.0219085 81.30
## Gini100C 0.0025790 0.0008999 2.87
## MedianHouseholdIncome2C 0.0020117 0.0054501 0.37
## Race 0.0418086 0.0083952 4.98
## I(Gini100C^2) -0.0001013 0.0000979 -1.03
## Age0 0.0014275 0.0003213 4.44
## Sex -0.0806393 0.0055915 -14.42
## HseHldEducationDich 0.0014379 0.0060397 0.24
## PovStat 0.0003156 0.0058658 0.05
## CVDclusterdich -0.0399864 0.0145891 -2.74
## DMMclusterdich -0.0182212 0.0072086 -2.53
## PhysBMI -0.0045463 0.0003805 -11.95
## rxPsych -0.0125339 0.0079184 -1.58
## rxHTN -0.0031893 0.0073083 -0.44
## rxDiabetes -0.0123926 0.0117348 -1.06
## rxHypercholesterolemia -0.0001721 0.0099082 -0.02
## SmokingCurr 0.0099704 0.0070373 1.42
## AlcoholCurr 0.0318908 0.0056947 5.60
## IllicitDrugCurr 0.0186722 0.0077583 2.41
## Gini100C:MedianHouseholdIncome2C -0.0001999 0.0006454 -0.31
## Gini100C:Race -0.0028585 0.0012231 -2.34
## MedianHouseholdIncome2C:Race -0.0124353 0.0068049 -1.83
## MedianHouseholdIncome2C:I(Gini100C^2) 0.0000264 0.0000684 0.39
## Race:I(Gini100C^2) 0.0000569 0.0001545 0.37
## Pr(>|t|)
## (Intercept) < 2e-16
## Gini100C 0.0042
## MedianHouseholdIncome2C 0.7121
## Race 0.000000694
## I(Gini100C^2) 0.3009
## Age0 0.000009403
## Sex < 2e-16
## HseHldEducationDich 0.8119
## PovStat 0.9571
## CVDclusterdich 0.0062
## DMMclusterdich 0.0116
## PhysBMI < 2e-16
## rxPsych 0.1136
## rxHTN 0.6626
## rxDiabetes 0.2911
## rxHypercholesterolemia 0.9861
## SmokingCurr 0.1567
## AlcoholCurr 0.000000025
## IllicitDrugCurr 0.0162
## Gini100C:MedianHouseholdIncome2C 0.7569
## Gini100C:Race 0.0195
## MedianHouseholdIncome2C:Race 0.0678
## MedianHouseholdIncome2C:I(Gini100C^2) 0.6993
## Race:I(Gini100C^2) 0.7126
##
## Residual standard error: 0.115 on 1867 degrees of freedom
## Multiple R-squared: 0.22, Adjusted R-squared: 0.21
## F-statistic: 22.9 on 23 and 1867 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 3 : Race:I(Gini100C^2)
## --------
##
## -------------STEP 4 -------------
##
## Call:
## lm(formula = LabResHDLimplog ~ Gini100C + MedianHouseholdIncome2C +
## Race + I(Gini100C^2) + Age0 + Sex + HseHldEducationDich +
## PovStat + CVDclusterdich + DMMclusterdich + PhysBMI + rxPsych +
## rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr +
## AlcoholCurr + IllicitDrugCurr + Gini100C:MedianHouseholdIncome2C +
## Gini100C:Race + MedianHouseholdIncome2C:Race + MedianHouseholdIncome2C:I(Gini100C^2),
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.6966 -0.0714 -0.0001 0.0727 0.5620
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 1.7799725 0.0216762 82.12
## Gini100C 0.0024635 0.0008434 2.92
## MedianHouseholdIncome2C 0.0020184 0.0054488 0.37
## Race 0.0438316 0.0063492 6.90
## I(Gini100C^2) -0.0000744 0.0000651 -1.14
## Age0 0.0014251 0.0003212 4.44
## Sex -0.0805622 0.0055863 -14.42
## HseHldEducationDich 0.0013355 0.0060319 0.22
## PovStat 0.0002354 0.0058604 0.04
## CVDclusterdich -0.0399451 0.0145853 -2.74
## DMMclusterdich -0.0180516 0.0071922 -2.51
## PhysBMI -0.0045444 0.0003804 -11.95
## rxPsych -0.0124263 0.0079112 -1.57
## rxHTN -0.0031774 0.0073066 -0.43
## rxDiabetes -0.0126178 0.0117161 -1.08
## rxHypercholesterolemia -0.0001207 0.0099050 -0.01
## SmokingCurr 0.0098708 0.0070305 1.40
## AlcoholCurr 0.0320239 0.0056820 5.64
## IllicitDrugCurr 0.0187308 0.0077549 2.42
## Gini100C:MedianHouseholdIncome2C -0.0002596 0.0006245 -0.42
## Gini100C:Race -0.0026445 0.0010762 -2.46
## MedianHouseholdIncome2C:Race -0.0117758 0.0065638 -1.79
## MedianHouseholdIncome2C:I(Gini100C^2) 0.0000138 0.0000591 0.23
## Pr(>|t|)
## (Intercept) < 2e-16
## Gini100C 0.0035
## MedianHouseholdIncome2C 0.7111
## Race 0.0000000000069
## I(Gini100C^2) 0.2533
## Age0 0.0000096491947
## Sex < 2e-16
## HseHldEducationDich 0.8248
## PovStat 0.9680
## CVDclusterdich 0.0062
## DMMclusterdich 0.0122
## PhysBMI < 2e-16
## rxPsych 0.1164
## rxHTN 0.6637
## rxDiabetes 0.2816
## rxHypercholesterolemia 0.9903
## SmokingCurr 0.1605
## AlcoholCurr 0.0000000200500
## IllicitDrugCurr 0.0158
## Gini100C:MedianHouseholdIncome2C 0.6777
## Gini100C:Race 0.0141
## MedianHouseholdIncome2C:Race 0.0730
## MedianHouseholdIncome2C:I(Gini100C^2) 0.8158
##
## Residual standard error: 0.115 on 1868 degrees of freedom
## Multiple R-squared: 0.22, Adjusted R-squared: 0.211
## F-statistic: 23.9 on 22 and 1868 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 4 : MedianHouseholdIncome2C:I(Gini100C^2)
## --------
##
## -------------STEP 5 -------------
##
## Call:
## lm(formula = LabResHDLimplog ~ Gini100C + MedianHouseholdIncome2C +
## Race + I(Gini100C^2) + Age0 + Sex + HseHldEducationDich +
## PovStat + CVDclusterdich + DMMclusterdich + PhysBMI + rxPsych +
## rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr +
## AlcoholCurr + IllicitDrugCurr + Gini100C:MedianHouseholdIncome2C +
## Gini100C:Race + MedianHouseholdIncome2C:Race, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.6979 -0.0715 -0.0002 0.0727 0.5615
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 1.7803300 0.0216163 82.36
## Gini100C 0.0024842 0.0008385 2.96
## MedianHouseholdIncome2C 0.0028287 0.0041940 0.67
## Race 0.0437361 0.0063344 6.90
## I(Gini100C^2) -0.0000770 0.0000641 -1.20
## Age0 0.0014230 0.0003210 4.43
## Sex -0.0806052 0.0055819 -14.44
## HseHldEducationDich 0.0013687 0.0060287 0.23
## PovStat 0.0002440 0.0058588 0.04
## CVDclusterdich -0.0399707 0.0145812 -2.74
## DMMclusterdich -0.0181104 0.0071859 -2.52
## PhysBMI -0.0045448 0.0003803 -11.95
## rxPsych -0.0125307 0.0078965 -1.59
## rxHTN -0.0031233 0.0073010 -0.43
## rxDiabetes -0.0126218 0.0117132 -1.08
## rxHypercholesterolemia -0.0001224 0.0099025 -0.01
## SmokingCurr 0.0098313 0.0070267 1.40
## AlcoholCurr 0.0320528 0.0056792 5.64
## IllicitDrugCurr 0.0186457 0.0077444 2.41
## Gini100C:MedianHouseholdIncome2C -0.0001893 0.0005468 -0.35
## Gini100C:Race -0.0027500 0.0009762 -2.82
## MedianHouseholdIncome2C:Race -0.0123577 0.0060688 -2.04
## Pr(>|t|)
## (Intercept) < 2e-16
## Gini100C 0.0031
## MedianHouseholdIncome2C 0.5001
## Race 0.0000000000069
## I(Gini100C^2) 0.2301
## Age0 0.0000098065622
## Sex < 2e-16
## HseHldEducationDich 0.8204
## PovStat 0.9668
## CVDclusterdich 0.0062
## DMMclusterdich 0.0118
## PhysBMI < 2e-16
## rxPsych 0.1127
## rxHTN 0.6689
## rxDiabetes 0.2814
## rxHypercholesterolemia 0.9901
## SmokingCurr 0.1619
## AlcoholCurr 0.0000000191674
## IllicitDrugCurr 0.0162
## Gini100C:MedianHouseholdIncome2C 0.7292
## Gini100C:Race 0.0049
## MedianHouseholdIncome2C:Race 0.0419
##
## Residual standard error: 0.115 on 1869 degrees of freedom
## Multiple R-squared: 0.22, Adjusted R-squared: 0.211
## F-statistic: 25.1 on 21 and 1869 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 5 : Gini100C:MedianHouseholdIncome2C
## --------
##
## -------------STEP 6 -------------
##
## Call:
## lm(formula = LabResHDLimplog ~ Gini100C + MedianHouseholdIncome2C +
## Race + I(Gini100C^2) + Age0 + Sex + HseHldEducationDich +
## PovStat + CVDclusterdich + DMMclusterdich + PhysBMI + rxPsych +
## rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr +
## AlcoholCurr + IllicitDrugCurr + Gini100C:Race + MedianHouseholdIncome2C:Race,
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.6969 -0.0721 -0.0002 0.0722 0.5605
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 1.7798839 0.0215728 82.51 < 2e-16
## Gini100C 0.0023480 0.0007403 3.17 0.0015
## MedianHouseholdIncome2C 0.0035109 0.0037015 0.95 0.3430
## Race 0.0444065 0.0060297 7.36 2.7e-13
## I(Gini100C^2) -0.0000667 0.0000569 -1.17 0.2408
## Age0 0.0014224 0.0003209 4.43 9.8e-06
## Sex -0.0805871 0.0055803 -14.44 < 2e-16
## HseHldEducationDich 0.0012490 0.0060174 0.21 0.8356
## PovStat 0.0002324 0.0058573 0.04 0.9684
## CVDclusterdich -0.0399187 0.0145770 -2.74 0.0062
## DMMclusterdich -0.0180039 0.0071776 -2.51 0.0122
## PhysBMI -0.0045454 0.0003802 -11.96 < 2e-16
## rxPsych -0.0125476 0.0078945 -1.59 0.1121
## rxHTN -0.0030513 0.0072964 -0.42 0.6759
## rxDiabetes -0.0127718 0.0117024 -1.09 0.2752
## rxHypercholesterolemia -0.0001342 0.0099001 -0.01 0.9892
## SmokingCurr 0.0098473 0.0070249 1.40 0.1611
## AlcoholCurr 0.0319898 0.0056749 5.64 2.0e-08
## IllicitDrugCurr 0.0186434 0.0077426 2.41 0.0161
## Gini100C:Race -0.0026209 0.0009020 -2.91 0.0037
## MedianHouseholdIncome2C:Race -0.0134175 0.0052393 -2.56 0.0105
##
## Residual standard error: 0.115 on 1870 degrees of freedom
## Multiple R-squared: 0.22, Adjusted R-squared: 0.211
## F-statistic: 26.3 on 20 and 1870 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 6 : I(Gini100C^2)
## --------
##
## -------------STEP 7 -------------
##
## Call:
## lm(formula = LabResHDLimplog ~ Gini100C + MedianHouseholdIncome2C +
## Race + Age0 + Sex + HseHldEducationDich + PovStat + CVDclusterdich +
## DMMclusterdich + PhysBMI + rxPsych + rxHTN + rxDiabetes +
## rxHypercholesterolemia + SmokingCurr + AlcoholCurr + IllicitDrugCurr +
## Gini100C:Race + MedianHouseholdIncome2C:Race, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.7035 -0.0717 -0.0011 0.0729 0.5649
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 1.7765676 0.0213890 83.06 < 2e-16
## Gini100C 0.0019382 0.0006528 2.97 0.0030
## MedianHouseholdIncome2C 0.0029132 0.0036667 0.79 0.4270
## Race 0.0452053 0.0059918 7.54 7.0e-14
## Age0 0.0014192 0.0003209 4.42 1.0e-05
## Sex -0.0808940 0.0055747 -14.51 < 2e-16
## HseHldEducationDich 0.0008361 0.0060077 0.14 0.8893
## PovStat 0.0000637 0.0058561 0.01 0.9913
## CVDclusterdich -0.0407001 0.0145632 -2.79 0.0052
## DMMclusterdich -0.0184739 0.0071672 -2.58 0.0100
## PhysBMI -0.0045121 0.0003792 -11.90 < 2e-16
## rxPsych -0.0129960 0.0078860 -1.65 0.0995
## rxHTN -0.0028873 0.0072957 -0.40 0.6923
## rxDiabetes -0.0120661 0.0116881 -1.03 0.3020
## rxHypercholesterolemia -0.0002873 0.0099002 -0.03 0.9769
## SmokingCurr 0.0098549 0.0070256 1.40 0.1609
## AlcoholCurr 0.0318942 0.0056749 5.62 2.2e-08
## IllicitDrugCurr 0.0181002 0.0077295 2.34 0.0193
## Gini100C:Race -0.0027519 0.0008951 -3.07 0.0021
## MedianHouseholdIncome2C:Race -0.0134308 0.0052398 -2.56 0.0104
##
## Residual standard error: 0.115 on 1871 degrees of freedom
## Multiple R-squared: 0.219, Adjusted R-squared: 0.211
## F-statistic: 27.6 on 19 and 1871 DF, p-value: <2e-16
##
## ***************** END Backward Elimination: LabResHDLimplog *****************************
##
##
## ************************************************************
## ************************************************************
## BEGIN: LabResCholimp
## ************************************************************
## ************************************************************
## -------------STEP 1 -------------
##
## Call:
## lm(formula = "LabResCholimp ~ Gini100C*MedianHouseholdIncome2C*Race + I(Gini100C^2)*MedianHouseholdIncome2C*Race + Age0 + Sex + Race + HseHldEducationDich + PovStat + CVDclusterdich + DMMclusterdich + PhysBMI + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C",
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -104.1 -26.6 -2.4 21.8 474.1
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 154.1443 7.8938 19.53
## Gini100C -0.1020 0.3356 -0.30
## MedianHouseholdIncome2C 0.8794 2.7342 0.32
## Race -4.7743 3.0252 -1.58
## I(Gini100C^2) 0.0121 0.0381 0.32
## Age0 0.7751 0.1157 6.70
## Sex -7.7457 2.0107 -3.85
## HseHldEducationDich 0.6349 2.1741 0.29
## PovStat -1.6157 2.1107 -0.77
## CVDclusterdich -17.1237 5.2453 -3.26
## DMMclusterdich -5.4714 2.5924 -2.11
## PhysBMI 0.1513 0.1368 1.11
## rxPsych 0.0347 2.8472 0.01
## rxHTN 3.8590 2.6290 1.47
## rxDiabetes -1.7988 4.2205 -0.43
## rxHypercholesterolemia -8.6907 3.5634 -2.44
## SmokingCurr 2.7911 2.5315 1.10
## AlcoholCurr 0.7617 2.0489 0.37
## IllicitDrugCurr 0.9034 2.7904 0.32
## Gini100C:MedianHouseholdIncome2C 0.0773 0.3464 0.22
## Gini100C:Race 0.0473 0.4721 0.10
## MedianHouseholdIncome2C:Race 0.2200 3.2407 0.07
## MedianHouseholdIncome2C:I(Gini100C^2) -0.0249 0.0440 -0.56
## Race:I(Gini100C^2) -0.0120 0.0583 -0.21
## Gini100C:MedianHouseholdIncome2C:Race 0.2784 0.4701 0.59
## MedianHouseholdIncome2C:Race:I(Gini100C^2) 0.0196 0.0531 0.37
## Pr(>|t|)
## (Intercept) < 2e-16
## Gini100C 0.76133
## MedianHouseholdIncome2C 0.74777
## Race 0.11469
## I(Gini100C^2) 0.75153
## Age0 0.000000000028
## Sex 0.00012
## HseHldEducationDich 0.77028
## PovStat 0.44409
## CVDclusterdich 0.00112
## DMMclusterdich 0.03495
## PhysBMI 0.26878
## rxPsych 0.99029
## rxHTN 0.14231
## rxDiabetes 0.67001
## rxHypercholesterolemia 0.01482
## SmokingCurr 0.27036
## AlcoholCurr 0.71012
## IllicitDrugCurr 0.74615
## Gini100C:MedianHouseholdIncome2C 0.82342
## Gini100C:Race 0.92018
## MedianHouseholdIncome2C:Race 0.94588
## MedianHouseholdIncome2C:I(Gini100C^2) 0.57233
## Race:I(Gini100C^2) 0.83698
## Gini100C:MedianHouseholdIncome2C:Race 0.55381
## MedianHouseholdIncome2C:Race:I(Gini100C^2) 0.71203
##
## Residual standard error: 41.4 on 1865 degrees of freedom
## Multiple R-squared: 0.0574, Adjusted R-squared: 0.0448
## F-statistic: 4.55 on 25 and 1865 DF, p-value: 8.25e-13
##
##
## --------
## Term dropped in step 1 : MedianHouseholdIncome2C:Race:I(Gini100C^2)
## --------
##
## -------------STEP 2 -------------
##
## Call:
## lm(formula = LabResCholimp ~ Gini100C + MedianHouseholdIncome2C +
## Race + I(Gini100C^2) + Age0 + Sex + HseHldEducationDich +
## PovStat + CVDclusterdich + DMMclusterdich + PhysBMI + rxPsych +
## rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr +
## AlcoholCurr + IllicitDrugCurr + Gini100C:MedianHouseholdIncome2C +
## Gini100C:Race + MedianHouseholdIncome2C:Race + MedianHouseholdIncome2C:I(Gini100C^2) +
## Race:I(Gini100C^2) + Gini100C:MedianHouseholdIncome2C:Race,
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -104.3 -26.6 -2.4 21.7 473.9
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 154.32434 7.87689 19.59
## Gini100C -0.08568 0.33264 -0.26
## MedianHouseholdIncome2C 0.27537 2.19013 0.13
## Race -4.76318 3.02431 -1.57
## I(Gini100C^2) 0.00675 0.03524 0.19
## Age0 0.77352 0.11561 6.69
## Sex -7.73006 2.00978 -3.85
## HseHldEducationDich 0.66188 2.17236 0.30
## PovStat -1.60758 2.11008 -0.76
## CVDclusterdich -17.11778 5.24409 -3.26
## DMMclusterdich -5.46173 2.59170 -2.11
## PhysBMI 0.15073 0.13677 1.10
## rxPsych 0.04925 2.84631 0.02
## rxHTN 3.89275 2.62682 1.48
## rxDiabetes -1.78271 4.21931 -0.42
## rxHypercholesterolemia -8.67954 3.56240 -2.44
## SmokingCurr 2.76753 2.53008 1.09
## AlcoholCurr 0.79130 2.04684 0.39
## IllicitDrugCurr 0.87937 2.78901 0.32
## Gini100C:MedianHouseholdIncome2C 0.03814 0.32967 0.12
## Gini100C:Race 0.01538 0.46404 0.03
## MedianHouseholdIncome2C:Race 0.98574 2.48946 0.40
## MedianHouseholdIncome2C:I(Gini100C^2) -0.01138 0.02458 -0.46
## Race:I(Gini100C^2) -0.01136 0.05826 -0.20
## Gini100C:MedianHouseholdIncome2C:Race 0.33255 0.44651 0.74
## Pr(>|t|)
## (Intercept) < 2e-16
## Gini100C 0.79677
## MedianHouseholdIncome2C 0.89996
## Race 0.11543
## I(Gini100C^2) 0.84806
## Age0 0.000000000029
## Sex 0.00012
## HseHldEducationDich 0.76064
## PovStat 0.44624
## CVDclusterdich 0.00112
## DMMclusterdich 0.03522
## PhysBMI 0.27057
## rxPsych 0.98620
## rxHTN 0.13853
## rxDiabetes 0.67270
## rxHypercholesterolemia 0.01493
## SmokingCurr 0.27416
## AlcoholCurr 0.69910
## IllicitDrugCurr 0.75257
## Gini100C:MedianHouseholdIncome2C 0.90791
## Gini100C:Race 0.97357
## MedianHouseholdIncome2C:Race 0.69217
## MedianHouseholdIncome2C:I(Gini100C^2) 0.64350
## Race:I(Gini100C^2) 0.84539
## Gini100C:MedianHouseholdIncome2C:Race 0.45650
##
## Residual standard error: 41.4 on 1866 degrees of freedom
## Multiple R-squared: 0.0574, Adjusted R-squared: 0.0453
## F-statistic: 4.73 on 24 and 1866 DF, p-value: 3.92e-13
##
##
## --------
## Term dropped in step 2 : Race:I(Gini100C^2)
## --------
##
## -------------STEP 3 -------------
##
## Call:
## lm(formula = LabResCholimp ~ Gini100C + MedianHouseholdIncome2C +
## Race + I(Gini100C^2) + Age0 + Sex + HseHldEducationDich +
## PovStat + CVDclusterdich + DMMclusterdich + PhysBMI + rxPsych +
## rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr +
## AlcoholCurr + IllicitDrugCurr + Gini100C:MedianHouseholdIncome2C +
## Gini100C:Race + MedianHouseholdIncome2C:Race + MedianHouseholdIncome2C:I(Gini100C^2) +
## Gini100C:MedianHouseholdIncome2C:Race, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -104.4 -26.6 -2.5 21.7 473.8
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 154.54611 7.79236 19.83
## Gini100C -0.06015 0.30572 -0.20
## MedianHouseholdIncome2C 0.21621 2.16847 0.10
## Race -5.14198 2.31761 -2.22
## I(Gini100C^2) 0.00199 0.02540 0.08
## Age0 0.77364 0.11558 6.69
## Sex -7.74475 2.00785 -3.86
## HseHldEducationDich 0.68526 2.16849 0.32
## PovStat -1.58791 2.10713 -0.75
## CVDclusterdich -17.12147 5.24270 -3.27
## DMMclusterdich -5.49621 2.58500 -2.13
## PhysBMI 0.15034 0.13672 1.10
## rxPsych 0.03190 2.84419 0.01
## rxHTN 3.88999 2.62611 1.48
## rxDiabetes -1.73516 4.21117 -0.41
## rxHypercholesterolemia -8.68355 3.56142 -2.44
## SmokingCurr 2.78210 2.52833 1.10
## AlcoholCurr 0.76726 2.04259 0.38
## IllicitDrugCurr 0.87176 2.78802 0.31
## Gini100C:MedianHouseholdIncome2C 0.03511 0.32922 0.11
## Gini100C:Race -0.03221 0.39462 -0.08
## MedianHouseholdIncome2C:Race 0.89363 2.44361 0.37
## MedianHouseholdIncome2C:I(Gini100C^2) -0.00905 0.02150 -0.42
## Gini100C:MedianHouseholdIncome2C:Race 0.35896 0.42537 0.84
## Pr(>|t|)
## (Intercept) < 2e-16
## Gini100C 0.84406
## MedianHouseholdIncome2C 0.92059
## Race 0.02663
## I(Gini100C^2) 0.93757
## Age0 0.000000000029
## Sex 0.00012
## HseHldEducationDich 0.75203
## PovStat 0.45119
## CVDclusterdich 0.00111
## DMMclusterdich 0.03362
## PhysBMI 0.27163
## rxPsych 0.99105
## rxHTN 0.13870
## rxDiabetes 0.68036
## rxHypercholesterolemia 0.01485
## SmokingCurr 0.27131
## AlcoholCurr 0.70724
## IllicitDrugCurr 0.75456
## Gini100C:MedianHouseholdIncome2C 0.91507
## Gini100C:Race 0.93496
## MedianHouseholdIncome2C:Race 0.71463
## MedianHouseholdIncome2C:I(Gini100C^2) 0.67363
## Gini100C:MedianHouseholdIncome2C:Race 0.39885
##
## Residual standard error: 41.4 on 1867 degrees of freedom
## Multiple R-squared: 0.0574, Adjusted R-squared: 0.0457
## F-statistic: 4.94 on 23 and 1867 DF, p-value: 1.75e-13
##
##
## --------
## Term dropped in step 3 : MedianHouseholdIncome2C:I(Gini100C^2)
## --------
##
## -------------STEP 4 -------------
##
## Call:
## lm(formula = LabResCholimp ~ Gini100C + MedianHouseholdIncome2C +
## Race + I(Gini100C^2) + Age0 + Sex + HseHldEducationDich +
## PovStat + CVDclusterdich + DMMclusterdich + PhysBMI + rxPsych +
## rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr +
## AlcoholCurr + IllicitDrugCurr + Gini100C:MedianHouseholdIncome2C +
## Gini100C:Race + MedianHouseholdIncome2C:Race + Gini100C:MedianHouseholdIncome2C:Race,
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -104.5 -26.6 -2.4 21.7 474.1
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 154.32644 7.77318 19.85
## Gini100C -0.07593 0.30335 -0.25
## MedianHouseholdIncome2C -0.24549 1.87065 -0.13
## Race -5.10618 2.31555 -2.21
## I(Gini100C^2) 0.00303 0.02527 0.12
## Age0 0.77530 0.11549 6.71
## Sex -7.71784 2.00639 -3.85
## HseHldEducationDich 0.66091 2.16724 0.30
## PovStat -1.59711 2.10655 -0.76
## CVDclusterdich -17.10964 5.24147 -3.26
## DMMclusterdich -5.45777 2.58282 -2.11
## PhysBMI 0.15061 0.13669 1.10
## rxPsych 0.09474 2.83965 0.03
## rxHTN 3.85565 2.62426 1.47
## rxDiabetes -1.73520 4.21025 -0.41
## rxHypercholesterolemia -8.68885 3.56062 -2.44
## SmokingCurr 2.81288 2.52672 1.11
## AlcoholCurr 0.74609 2.04153 0.37
## IllicitDrugCurr 0.92223 2.78483 0.33
## Gini100C:MedianHouseholdIncome2C 0.00520 0.32140 0.02
## Gini100C:Race 0.04046 0.35483 0.11
## MedianHouseholdIncome2C:Race 1.22715 2.31127 0.53
## Gini100C:MedianHouseholdIncome2C:Race 0.33210 0.42047 0.79
## Pr(>|t|)
## (Intercept) < 2e-16
## Gini100C 0.80239
## MedianHouseholdIncome2C 0.89560
## Race 0.02756
## I(Gini100C^2) 0.90466
## Age0 0.000000000025
## Sex 0.00012
## HseHldEducationDich 0.76044
## PovStat 0.44845
## CVDclusterdich 0.00112
## DMMclusterdich 0.03472
## PhysBMI 0.27065
## rxPsych 0.97339
## rxHTN 0.14194
## rxDiabetes 0.68029
## rxHypercholesterolemia 0.01477
## SmokingCurr 0.26574
## AlcoholCurr 0.71481
## IllicitDrugCurr 0.74056
## Gini100C:MedianHouseholdIncome2C 0.98710
## Gini100C:Race 0.90922
## MedianHouseholdIncome2C:Race 0.59552
## Gini100C:MedianHouseholdIncome2C:Race 0.42972
##
## Residual standard error: 41.4 on 1868 degrees of freedom
## Multiple R-squared: 0.0573, Adjusted R-squared: 0.0462
## F-statistic: 5.16 on 22 and 1868 DF, p-value: 8.12e-14
##
##
## --------
## Term dropped in step 4 : Gini100C:MedianHouseholdIncome2C:Race
## --------
##
## -------------STEP 5 -------------
##
## Call:
## lm(formula = LabResCholimp ~ Gini100C + MedianHouseholdIncome2C +
## Race + I(Gini100C^2) + Age0 + Sex + HseHldEducationDich +
## PovStat + CVDclusterdich + DMMclusterdich + PhysBMI + rxPsych +
## rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr +
## AlcoholCurr + IllicitDrugCurr + Gini100C:MedianHouseholdIncome2C +
## Gini100C:Race + MedianHouseholdIncome2C:Race, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -104.8 -26.7 -2.5 21.6 474.4
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 154.51477 7.76874 19.89
## Gini100C -0.10322 0.30135 -0.34
## MedianHouseholdIncome2C 0.62937 1.50730 0.42
## Race -5.43954 2.27653 -2.39
## I(Gini100C^2) -0.00518 0.02304 -0.22
## Age0 0.77951 0.11535 6.76
## Sex -7.73458 2.00608 -3.86
## HseHldEducationDich 0.63004 2.16667 0.29
## PovStat -1.64147 2.10559 -0.78
## CVDclusterdich -17.17186 5.24035 -3.28
## DMMclusterdich -5.46085 2.58256 -2.11
## PhysBMI 0.15077 0.13667 1.10
## rxPsych 0.02346 2.83793 0.01
## rxHTN 3.87040 2.62393 1.48
## rxDiabetes -1.76847 4.20961 -0.42
## rxHypercholesterolemia -8.76761 3.55886 -2.46
## SmokingCurr 2.87233 2.52534 1.14
## AlcoholCurr 0.71962 2.04104 0.35
## IllicitDrugCurr 0.85546 2.78327 0.31
## Gini100C:MedianHouseholdIncome2C 0.20605 0.19653 1.05
## Gini100C:Race 0.08225 0.35083 0.23
## MedianHouseholdIncome2C:Race 0.62363 2.18110 0.29
## Pr(>|t|)
## (Intercept) < 2e-16
## Gini100C 0.73200
## MedianHouseholdIncome2C 0.67632
## Race 0.01697
## I(Gini100C^2) 0.82220
## Age0 0.000000000019
## Sex 0.00012
## HseHldEducationDich 0.77125
## PovStat 0.43574
## CVDclusterdich 0.00107
## DMMclusterdich 0.03460
## PhysBMI 0.27011
## rxPsych 0.99340
## rxHTN 0.14037
## rxDiabetes 0.67446
## rxHypercholesterolemia 0.01384
## SmokingCurr 0.25552
## AlcoholCurr 0.72445
## IllicitDrugCurr 0.75861
## Gini100C:MedianHouseholdIncome2C 0.29458
## Gini100C:Race 0.81466
## MedianHouseholdIncome2C:Race 0.77497
##
## Residual standard error: 41.4 on 1869 degrees of freedom
## Multiple R-squared: 0.057, Adjusted R-squared: 0.0464
## F-statistic: 5.37 on 21 and 1869 DF, p-value: 4.43e-14
##
##
## --------
## Term dropped in step 5 : I(Gini100C^2)
## --------
##
## -------------STEP 6 -------------
##
## Call:
## lm(formula = LabResCholimp ~ Gini100C + MedianHouseholdIncome2C +
## Race + Age0 + Sex + HseHldEducationDich + PovStat + CVDclusterdich +
## DMMclusterdich + PhysBMI + rxPsych + rxHTN + rxDiabetes +
## rxHypercholesterolemia + SmokingCurr + AlcoholCurr + IllicitDrugCurr +
## Gini100C:MedianHouseholdIncome2C + Gini100C:Race + MedianHouseholdIncome2C:Race,
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -104.7 -26.8 -2.5 21.7 474.2
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 154.26416 7.68635 20.07
## Gini100C -0.14291 0.24411 -0.59
## MedianHouseholdIncome2C 0.66626 1.49796 0.44
## Race -5.31859 2.21145 -2.41
## Age0 0.77925 0.11532 6.76
## Sex -7.75138 2.00418 -3.87
## HseHldEducationDich 0.59192 2.15948 0.27
## PovStat -1.65302 2.10443 -0.79
## CVDclusterdich -17.21401 5.23567 -3.29
## DMMclusterdich -5.47810 2.58076 -2.12
## PhysBMI 0.15274 0.13636 1.12
## rxPsych -0.00576 2.83423 0.00
## rxHTN 3.88816 2.62208 1.48
## rxDiabetes -1.74149 4.20683 -0.41
## rxHypercholesterolemia -8.77824 3.55764 -2.47
## SmokingCurr 2.87452 2.52468 1.14
## AlcoholCurr 0.70700 2.03975 0.35
## IllicitDrugCurr 0.82201 2.77858 0.30
## Gini100C:MedianHouseholdIncome2C 0.22642 0.17433 1.30
## Gini100C:Race 0.08814 0.34976 0.25
## MedianHouseholdIncome2C:Race 0.50879 2.11986 0.24
## Pr(>|t|)
## (Intercept) < 2e-16
## Gini100C 0.55833
## MedianHouseholdIncome2C 0.65653
## Race 0.01627
## Age0 0.000000000019
## Sex 0.00011
## HseHldEducationDich 0.78403
## PovStat 0.43226
## CVDclusterdich 0.00103
## DMMclusterdich 0.03391
## PhysBMI 0.26281
## rxPsych 0.99838
## rxHTN 0.13828
## rxDiabetes 0.67895
## rxHypercholesterolemia 0.01370
## SmokingCurr 0.25503
## AlcoholCurr 0.72892
## IllicitDrugCurr 0.76739
## Gini100C:MedianHouseholdIncome2C 0.19418
## Gini100C:Race 0.80108
## MedianHouseholdIncome2C:Race 0.81035
##
## Residual standard error: 41.4 on 1870 degrees of freedom
## Multiple R-squared: 0.0569, Adjusted R-squared: 0.0468
## F-statistic: 5.64 on 20 and 1870 DF, p-value: 1.86e-14
##
##
## --------
## Term dropped in step 6 : MedianHouseholdIncome2C:Race
## --------
##
## -------------STEP 7 -------------
##
## Call:
## lm(formula = LabResCholimp ~ Gini100C + MedianHouseholdIncome2C +
## Race + Age0 + Sex + HseHldEducationDich + PovStat + CVDclusterdich +
## DMMclusterdich + PhysBMI + rxPsych + rxHTN + rxDiabetes +
## rxHypercholesterolemia + SmokingCurr + AlcoholCurr + IllicitDrugCurr +
## Gini100C:MedianHouseholdIncome2C + Gini100C:Race, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -104.5 -26.7 -2.4 21.6 474.2
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 154.0746 7.6437 20.16
## Gini100C -0.1430 0.2440 -0.59
## MedianHouseholdIncome2C 0.9374 0.9834 0.95
## Race -5.2126 2.1664 -2.41
## Age0 0.7793 0.1153 6.76
## Sex -7.7425 2.0033 -3.86
## HseHldEducationDich 0.6021 2.1585 0.28
## PovStat -1.6089 2.0959 -0.77
## CVDclusterdich -17.1860 5.2331 -3.28
## DMMclusterdich -5.4658 2.5796 -2.12
## PhysBMI 0.1551 0.1360 1.14
## rxPsych -0.0106 2.8334 0.00
## rxHTN 3.8729 2.6206 1.48
## rxDiabetes -1.7566 4.2053 -0.42
## rxHypercholesterolemia -8.7926 3.5562 -2.47
## SmokingCurr 2.8586 2.5232 1.13
## AlcoholCurr 0.7029 2.0392 0.34
## IllicitDrugCurr 0.8389 2.7770 0.30
## Gini100C:MedianHouseholdIncome2C 0.2456 0.1548 1.59
## Gini100C:Race 0.0807 0.3483 0.23
## Pr(>|t|)
## (Intercept) < 2e-16
## Gini100C 0.55799
## MedianHouseholdIncome2C 0.34059
## Race 0.01622
## Age0 0.000000000018
## Sex 0.00011
## HseHldEducationDich 0.78034
## PovStat 0.44278
## CVDclusterdich 0.00104
## DMMclusterdich 0.03424
## PhysBMI 0.25408
## rxPsych 0.99702
## rxHTN 0.13962
## rxDiabetes 0.67621
## rxHypercholesterolemia 0.01351
## SmokingCurr 0.25738
## AlcoholCurr 0.73036
## IllicitDrugCurr 0.76261
## Gini100C:MedianHouseholdIncome2C 0.11274
## Gini100C:Race 0.81672
##
## Residual standard error: 41.4 on 1871 degrees of freedom
## Multiple R-squared: 0.0569, Adjusted R-squared: 0.0473
## F-statistic: 5.94 on 19 and 1871 DF, p-value: 7.64e-15
##
##
## --------
## Term dropped in step 7 : Gini100C:Race
## --------
##
## -------------STEP 8 -------------
##
## Call:
## lm(formula = LabResCholimp ~ Gini100C + MedianHouseholdIncome2C +
## Race + Age0 + Sex + HseHldEducationDich + PovStat + CVDclusterdich +
## DMMclusterdich + PhysBMI + rxPsych + rxHTN + rxDiabetes +
## rxHypercholesterolemia + SmokingCurr + AlcoholCurr + IllicitDrugCurr +
## Gini100C:MedianHouseholdIncome2C, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -104.4 -26.6 -2.5 21.5 474.1
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 153.9990 7.6349 20.17
## Gini100C -0.0996 0.1564 -0.64
## MedianHouseholdIncome2C 0.8950 0.9659 0.93
## Race -5.2905 2.1397 -2.47
## Age0 0.7805 0.1151 6.78
## Sex -7.7269 2.0017 -3.86
## HseHldEducationDich 0.5799 2.1559 0.27
## PovStat -1.5369 2.0722 -0.74
## CVDclusterdich -17.1841 5.2317 -3.28
## DMMclusterdich -5.4889 2.5770 -2.13
## PhysBMI 0.1573 0.1356 1.16
## rxPsych -0.0117 2.8327 0.00
## rxHTN 3.8499 2.6181 1.47
## rxDiabetes -1.7174 4.2008 -0.41
## rxHypercholesterolemia -8.8014 3.5551 -2.48
## SmokingCurr 2.8432 2.5217 1.13
## AlcoholCurr 0.6878 2.0376 0.34
## IllicitDrugCurr 0.8506 2.7758 0.31
## Gini100C:MedianHouseholdIncome2C 0.2281 0.1349 1.69
## Pr(>|t|)
## (Intercept) < 2e-16
## Gini100C 0.52442
## MedianHouseholdIncome2C 0.35430
## Race 0.01350
## Age0 0.000000000016
## Sex 0.00012
## HseHldEducationDich 0.78798
## PovStat 0.45837
## CVDclusterdich 0.00104
## DMMclusterdich 0.03331
## PhysBMI 0.24619
## rxPsych 0.99671
## rxHTN 0.14160
## rxDiabetes 0.68272
## rxHypercholesterolemia 0.01339
## SmokingCurr 0.25967
## AlcoholCurr 0.73573
## IllicitDrugCurr 0.75930
## Gini100C:MedianHouseholdIncome2C 0.09117
##
## Residual standard error: 41.3 on 1872 degrees of freedom
## Multiple R-squared: 0.0569, Adjusted R-squared: 0.0478
## F-statistic: 6.27 on 18 and 1872 DF, p-value: 3.05e-15
##
##
## --------
## Term dropped in step 8 : Gini100C:MedianHouseholdIncome2C
## --------
##
## -------------STEP 9 -------------
##
## Call:
## lm(formula = LabResCholimp ~ Gini100C + MedianHouseholdIncome2C +
## Race + Age0 + Sex + HseHldEducationDich + PovStat + CVDclusterdich +
## DMMclusterdich + PhysBMI + rxPsych + rxHTN + rxDiabetes +
## rxHypercholesterolemia + SmokingCurr + AlcoholCurr + IllicitDrugCurr,
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -105.1 -26.4 -2.5 21.6 474.3
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 153.391 7.630 20.10 < 2e-16
## Gini100C -0.130 0.155 -0.84 0.40124
## MedianHouseholdIncome2C 0.647 0.955 0.68 0.49853
## Race -5.630 2.131 -2.64 0.00832
## Age0 0.776 0.115 6.74 0.000000000021
## Sex -7.885 2.000 -3.94 0.000083993178
## HseHldEducationDich 0.826 2.152 0.38 0.70112
## PovStat -1.677 2.072 -0.81 0.41844
## CVDclusterdich -17.420 5.232 -3.33 0.00089
## DMMclusterdich -5.702 2.575 -2.21 0.02695
## PhysBMI 0.170 0.135 1.25 0.21011
## rxPsych -0.131 2.833 -0.05 0.96300
## rxHTN 3.787 2.619 1.45 0.14842
## rxDiabetes -1.422 4.199 -0.34 0.73488
## rxHypercholesterolemia -8.848 3.557 -2.49 0.01294
## SmokingCurr 2.810 2.523 1.11 0.26551
## AlcoholCurr 0.829 2.037 0.41 0.68389
## IllicitDrugCurr 0.711 2.776 0.26 0.79794
##
## Residual standard error: 41.4 on 1873 degrees of freedom
## Multiple R-squared: 0.0554, Adjusted R-squared: 0.0469
## F-statistic: 6.47 on 17 and 1873 DF, p-value: 3.99e-15
##
##
## --------
## Term dropped in step 9 : Gini100C
## --------
## Warning: All variables have been thrown out of the model.
## No model could be specified.
## ***************** END Backward Elimination: LabResCholimp *****************************
##
##
## ************************************************************
## ************************************************************
## BEGIN: LabResCholimplog
## ************************************************************
## ************************************************************
## -------------STEP 1 -------------
##
## Call:
## lm(formula = "LabResCholimplog ~ Gini100C*MedianHouseholdIncome2C*Race + I(Gini100C^2)*MedianHouseholdIncome2C*Race + Age0 + Sex + Race + HseHldEducationDich + PovStat + CVDclusterdich + DMMclusterdich + PhysBMI + rxPsych + rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr + AlcoholCurr + IllicitDrugCurr + MedianHouseholdIncome2C",
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.3256 -0.0558 0.0041 0.0562 0.5832
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 2.1897450 0.0177135 123.62
## Gini100C -0.0002228 0.0007531 -0.30
## MedianHouseholdIncome2C 0.0028227 0.0061355 0.46
## Race -0.0111743 0.0067884 -1.65
## I(Gini100C^2) 0.0000502 0.0000854 0.59
## Age0 0.0018066 0.0002597 6.96
## Sex -0.0212224 0.0045119 -4.70
## HseHldEducationDich 0.0008542 0.0048786 0.18
## PovStat -0.0041879 0.0047363 -0.88
## CVDclusterdich -0.0413928 0.0117704 -3.52
## DMMclusterdich -0.0129366 0.0058174 -2.22
## PhysBMI 0.0003269 0.0003070 1.06
## rxPsych -0.0011840 0.0063891 -0.19
## rxHTN 0.0101466 0.0058995 1.72
## rxDiabetes -0.0096977 0.0094707 -1.02
## rxHypercholesterolemia -0.0183336 0.0079961 -2.29
## SmokingCurr 0.0047778 0.0056806 0.84
## AlcoholCurr 0.0016415 0.0045976 0.36
## IllicitDrugCurr 0.0022932 0.0062616 0.37
## Gini100C:MedianHouseholdIncome2C 0.0001427 0.0007773 0.18
## Gini100C:Race 0.0002605 0.0010595 0.25
## MedianHouseholdIncome2C:Race -0.0014722 0.0072721 -0.20
## MedianHouseholdIncome2C:I(Gini100C^2) -0.0000715 0.0000988 -0.72
## Race:I(Gini100C^2) -0.0000404 0.0001308 -0.31
## Gini100C:MedianHouseholdIncome2C:Race 0.0007286 0.0010549 0.69
## MedianHouseholdIncome2C:Race:I(Gini100C^2) 0.0000707 0.0001192 0.59
## Pr(>|t|)
## (Intercept) < 2e-16
## Gini100C 0.76740
## MedianHouseholdIncome2C 0.64553
## Race 0.09992
## I(Gini100C^2) 0.55674
## Age0 0.0000000000048
## Sex 0.0000027439323
## HseHldEducationDich 0.86103
## PovStat 0.37669
## CVDclusterdich 0.00045
## DMMclusterdich 0.02628
## PhysBMI 0.28708
## rxPsych 0.85300
## rxHTN 0.08561
## rxDiabetes 0.30598
## rxHypercholesterolemia 0.02197
## SmokingCurr 0.40041
## AlcoholCurr 0.72111
## IllicitDrugCurr 0.71423
## Gini100C:MedianHouseholdIncome2C 0.85434
## Gini100C:Race 0.80581
## MedianHouseholdIncome2C:Race 0.83959
## MedianHouseholdIncome2C:I(Gini100C^2) 0.46926
## Race:I(Gini100C^2) 0.75752
## Gini100C:MedianHouseholdIncome2C:Race 0.48985
## MedianHouseholdIncome2C:Race:I(Gini100C^2) 0.55325
##
## Residual standard error: 0.0929 on 1865 degrees of freedom
## Multiple R-squared: 0.0658, Adjusted R-squared: 0.0533
## F-statistic: 5.26 on 25 and 1865 DF, p-value: 9.27e-16
##
##
## --------
## Term dropped in step 1 : MedianHouseholdIncome2C:Race:I(Gini100C^2)
## --------
##
## -------------STEP 2 -------------
##
## Call:
## lm(formula = LabResCholimplog ~ Gini100C + MedianHouseholdIncome2C +
## Race + I(Gini100C^2) + Age0 + Sex + HseHldEducationDich +
## PovStat + CVDclusterdich + DMMclusterdich + PhysBMI + rxPsych +
## rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr +
## AlcoholCurr + IllicitDrugCurr + Gini100C:MedianHouseholdIncome2C +
## Gini100C:Race + MedianHouseholdIncome2C:Race + MedianHouseholdIncome2C:I(Gini100C^2) +
## Race:I(Gini100C^2) + Gini100C:MedianHouseholdIncome2C:Race,
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.3251 -0.0554 0.0047 0.0562 0.5825
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 2.19039404 0.01767658 123.92
## Gini100C -0.00016412 0.00074649 -0.22
## MedianHouseholdIncome2C 0.00064549 0.00491490 0.13
## Race -0.01113412 0.00678689 -1.64
## I(Gini100C^2) 0.00003110 0.00007909 0.39
## Age0 0.00180101 0.00025945 6.94
## Sex -0.02116608 0.00451016 -4.69
## HseHldEducationDich 0.00095126 0.00487502 0.20
## PovStat -0.00415876 0.00473525 -0.88
## CVDclusterdich -0.04137167 0.01176830 -3.52
## DMMclusterdich -0.01290166 0.00581606 -2.22
## PhysBMI 0.00032471 0.00030692 1.06
## rxPsych -0.00113143 0.00638742 -0.18
## rxHTN 0.01026814 0.00589487 1.74
## rxDiabetes -0.00963988 0.00946859 -1.02
## rxHypercholesterolemia -0.01829356 0.00799441 -2.29
## SmokingCurr 0.00469284 0.00567778 0.83
## AlcoholCurr 0.00174829 0.00459332 0.38
## IllicitDrugCurr 0.00220643 0.00625884 0.35
## Gini100C:MedianHouseholdIncome2C 0.00000154 0.00073982 0.00
## Gini100C:Race 0.00014535 0.00104135 0.14
## MedianHouseholdIncome2C:Race 0.00128785 0.00558662 0.23
## MedianHouseholdIncome2C:I(Gini100C^2) -0.00002291 0.00005516 -0.42
## Race:I(Gini100C^2) -0.00003811 0.00013075 -0.29
## Gini100C:MedianHouseholdIncome2C:Race 0.00092383 0.00100201 0.92
## Pr(>|t|)
## (Intercept) < 2e-16
## Gini100C 0.82601
## MedianHouseholdIncome2C 0.89553
## Race 0.10106
## I(Gini100C^2) 0.69418
## Age0 0.0000000000053
## Sex 0.0000028885631
## HseHldEducationDich 0.84531
## PovStat 0.37992
## CVDclusterdich 0.00045
## DMMclusterdich 0.02666
## PhysBMI 0.29021
## rxPsych 0.85942
## rxHTN 0.08169
## rxDiabetes 0.30877
## rxHypercholesterolemia 0.02223
## SmokingCurr 0.40861
## AlcoholCurr 0.70353
## IllicitDrugCurr 0.72448
## Gini100C:MedianHouseholdIncome2C 0.99834
## Gini100C:Race 0.88901
## MedianHouseholdIncome2C:Race 0.81771
## MedianHouseholdIncome2C:I(Gini100C^2) 0.67794
## Race:I(Gini100C^2) 0.77073
## Gini100C:MedianHouseholdIncome2C:Race 0.35666
##
## Residual standard error: 0.0929 on 1866 degrees of freedom
## Multiple R-squared: 0.0656, Adjusted R-squared: 0.0536
## F-statistic: 5.46 on 24 and 1866 DF, p-value: 4.5e-16
##
##
## --------
## Term dropped in step 2 : Race:I(Gini100C^2)
## --------
##
## -------------STEP 3 -------------
##
## Call:
## lm(formula = LabResCholimplog ~ Gini100C + MedianHouseholdIncome2C +
## Race + I(Gini100C^2) + Age0 + Sex + HseHldEducationDich +
## PovStat + CVDclusterdich + DMMclusterdich + PhysBMI + rxPsych +
## rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr +
## AlcoholCurr + IllicitDrugCurr + Gini100C:MedianHouseholdIncome2C +
## Gini100C:Race + MedianHouseholdIncome2C:Race + MedianHouseholdIncome2C:I(Gini100C^2) +
## Gini100C:MedianHouseholdIncome2C:Race, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.3250 -0.0557 0.0047 0.0559 0.5821
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 2.1911378 0.0174871 125.30
## Gini100C -0.0000785 0.0006861 -0.11
## MedianHouseholdIncome2C 0.0004471 0.0048663 0.09
## Race -0.0124045 0.0052010 -2.38
## I(Gini100C^2) 0.0000151 0.0000570 0.27
## Age0 0.0018014 0.0002594 6.95
## Sex -0.0212154 0.0045059 -4.71
## HseHldEducationDich 0.0010297 0.0048664 0.21
## PovStat -0.0040928 0.0047287 -0.87
## CVDclusterdich -0.0413840 0.0117653 -3.52
## DMMclusterdich -0.0130173 0.0058011 -2.24
## PhysBMI 0.0003234 0.0003068 1.05
## rxPsych -0.0011896 0.0063827 -0.19
## rxHTN 0.0102589 0.0058933 1.74
## rxDiabetes -0.0094804 0.0094505 -1.00
## rxHypercholesterolemia -0.0183070 0.0079923 -2.29
## SmokingCurr 0.0047417 0.0056739 0.84
## AlcoholCurr 0.0016676 0.0045839 0.36
## IllicitDrugCurr 0.0021809 0.0062567 0.35
## Gini100C:MedianHouseholdIncome2C -0.0000086 0.0007388 -0.01
## Gini100C:Race -0.0000142 0.0008856 -0.02
## MedianHouseholdIncome2C:Race 0.0009789 0.0054838 0.18
## MedianHouseholdIncome2C:I(Gini100C^2) -0.0000151 0.0000482 -0.31
## Gini100C:MedianHouseholdIncome2C:Race 0.0010124 0.0009546 1.06
## Pr(>|t|)
## (Intercept) < 2e-16
## Gini100C 0.90893
## MedianHouseholdIncome2C 0.92681
## Race 0.01718
## I(Gini100C^2) 0.79076
## Age0 0.0000000000052
## Sex 0.0000026811786
## HseHldEducationDich 0.83245
## PovStat 0.38686
## CVDclusterdich 0.00045
## DMMclusterdich 0.02495
## PhysBMI 0.29197
## rxPsych 0.85217
## rxHTN 0.08189
## rxDiabetes 0.31591
## rxHypercholesterolemia 0.02210
## SmokingCurr 0.40343
## AlcoholCurr 0.71604
## IllicitDrugCurr 0.72745
## Gini100C:MedianHouseholdIncome2C 0.99071
## Gini100C:Race 0.98718
## MedianHouseholdIncome2C:Race 0.85834
## MedianHouseholdIncome2C:I(Gini100C^2) 0.75400
## Gini100C:MedianHouseholdIncome2C:Race 0.28902
##
## Residual standard error: 0.0929 on 1867 degrees of freedom
## Multiple R-squared: 0.0656, Adjusted R-squared: 0.0541
## F-statistic: 5.7 on 23 and 1867 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 3 : MedianHouseholdIncome2C:I(Gini100C^2)
## --------
##
## -------------STEP 4 -------------
##
## Call:
## lm(formula = LabResCholimplog ~ Gini100C + MedianHouseholdIncome2C +
## Race + I(Gini100C^2) + Age0 + Sex + HseHldEducationDich +
## PovStat + CVDclusterdich + DMMclusterdich + PhysBMI + rxPsych +
## rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr +
## AlcoholCurr + IllicitDrugCurr + Gini100C:MedianHouseholdIncome2C +
## Gini100C:Race + MedianHouseholdIncome2C:Race + Gini100C:MedianHouseholdIncome2C:Race,
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.3255 -0.0555 0.0045 0.0562 0.5827
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 2.1907710 0.0174437 125.59
## Gini100C -0.0001048 0.0006807 -0.15
## MedianHouseholdIncome2C -0.0003238 0.0041979 -0.08
## Race -0.0123447 0.0051963 -2.38
## I(Gini100C^2) 0.0000169 0.0000567 0.30
## Age0 0.0018042 0.0002592 6.96
## Sex -0.0211704 0.0045025 -4.70
## HseHldEducationDich 0.0009890 0.0048635 0.20
## PovStat -0.0041082 0.0047273 -0.87
## CVDclusterdich -0.0413643 0.0117623 -3.52
## DMMclusterdich -0.0129531 0.0057961 -2.23
## PhysBMI 0.0003239 0.0003067 1.06
## rxPsych -0.0010847 0.0063724 -0.17
## rxHTN 0.0102015 0.0058891 1.73
## rxDiabetes -0.0094805 0.0094482 -1.00
## rxHypercholesterolemia -0.0183159 0.0079903 -2.29
## SmokingCurr 0.0047931 0.0056702 0.85
## AlcoholCurr 0.0016323 0.0045814 0.36
## IllicitDrugCurr 0.0022652 0.0062494 0.36
## Gini100C:MedianHouseholdIncome2C -0.0000586 0.0007213 -0.08
## Gini100C:Race 0.0001071 0.0007963 0.13
## MedianHouseholdIncome2C:Race 0.0015358 0.0051867 0.30
## Gini100C:MedianHouseholdIncome2C:Race 0.0009676 0.0009436 1.03
## Pr(>|t|)
## (Intercept) < 2e-16
## Gini100C 0.87762
## MedianHouseholdIncome2C 0.93852
## Race 0.01762
## I(Gini100C^2) 0.76631
## Age0 0.0000000000046
## Sex 0.0000027662573
## HseHldEducationDich 0.83888
## PovStat 0.38494
## CVDclusterdich 0.00045
## DMMclusterdich 0.02555
## PhysBMI 0.29117
## rxPsych 0.86486
## rxHTN 0.08339
## rxDiabetes 0.31579
## rxHypercholesterolemia 0.02200
## SmokingCurr 0.39804
## AlcoholCurr 0.72166
## IllicitDrugCurr 0.71705
## Gini100C:MedianHouseholdIncome2C 0.93530
## Gini100C:Race 0.89300
## MedianHouseholdIncome2C:Race 0.76718
## Gini100C:MedianHouseholdIncome2C:Race 0.30530
##
## Residual standard error: 0.0929 on 1868 degrees of freedom
## Multiple R-squared: 0.0656, Adjusted R-squared: 0.0545
## F-statistic: 5.96 on 22 and 1868 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 4 : Gini100C:MedianHouseholdIncome2C:Race
## --------
##
## -------------STEP 5 -------------
##
## Call:
## lm(formula = LabResCholimplog ~ Gini100C + MedianHouseholdIncome2C +
## Race + I(Gini100C^2) + Age0 + Sex + HseHldEducationDich +
## PovStat + CVDclusterdich + DMMclusterdich + PhysBMI + rxPsych +
## rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr +
## AlcoholCurr + IllicitDrugCurr + Gini100C:MedianHouseholdIncome2C +
## Gini100C:Race + MedianHouseholdIncome2C:Race, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.3283 -0.0563 0.0046 0.0566 0.5836
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 2.19131970 0.01743574 125.68
## Gini100C -0.00018435 0.00067633 -0.27
## MedianHouseholdIncome2C 0.00222502 0.00338290 0.66
## Race -0.01331591 0.00510932 -2.61
## I(Gini100C^2) -0.00000705 0.00005171 -0.14
## Age0 0.00181646 0.00025889 7.02
## Sex -0.02121918 0.00450233 -4.71
## HseHldEducationDich 0.00089907 0.00486276 0.18
## PovStat -0.00423741 0.00472567 -0.90
## CVDclusterdich -0.04154556 0.01176116 -3.53
## DMMclusterdich -0.01296207 0.00579616 -2.24
## PhysBMI 0.00032432 0.00030674 1.06
## rxPsych -0.00129235 0.00636928 -0.20
## rxHTN 0.01024450 0.00588901 1.74
## rxDiabetes -0.00957743 0.00944782 -1.01
## rxHypercholesterolemia -0.01854534 0.00798732 -2.32
## SmokingCurr 0.00496633 0.00566773 0.88
## AlcoholCurr 0.00155518 0.00458081 0.34
## IllicitDrugCurr 0.00207064 0.00624661 0.33
## Gini100C:MedianHouseholdIncome2C 0.00052661 0.00044109 1.19
## Gini100C:Race 0.00022887 0.00078738 0.29
## MedianHouseholdIncome2C:Race -0.00022249 0.00489513 -0.05
## Pr(>|t|)
## (Intercept) < 2e-16
## Gini100C 0.78521
## MedianHouseholdIncome2C 0.51079
## Race 0.00923
## I(Gini100C^2) 0.89161
## Age0 0.0000000000032
## Sex 0.0000026221988
## HseHldEducationDich 0.85334
## PovStat 0.37001
## CVDclusterdich 0.00042
## DMMclusterdich 0.02545
## PhysBMI 0.29051
## rxPsych 0.83923
## rxHTN 0.08209
## rxDiabetes 0.31085
## rxHypercholesterolemia 0.02035
## SmokingCurr 0.38101
## AlcoholCurr 0.73427
## IllicitDrugCurr 0.74032
## Gini100C:MedianHouseholdIncome2C 0.23267
## Gini100C:Race 0.77134
## MedianHouseholdIncome2C:Race 0.96375
##
## Residual standard error: 0.0929 on 1869 degrees of freedom
## Multiple R-squared: 0.065, Adjusted R-squared: 0.0545
## F-statistic: 6.19 on 21 and 1869 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 5 : MedianHouseholdIncome2C:Race
## --------
##
## -------------STEP 6 -------------
##
## Call:
## lm(formula = LabResCholimplog ~ Gini100C + MedianHouseholdIncome2C +
## Race + I(Gini100C^2) + Age0 + Sex + HseHldEducationDich +
## PovStat + CVDclusterdich + DMMclusterdich + PhysBMI + rxPsych +
## rxHTN + rxDiabetes + rxHypercholesterolemia + SmokingCurr +
## AlcoholCurr + IllicitDrugCurr + Gini100C:MedianHouseholdIncome2C +
## Gini100C:Race, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.3285 -0.0563 0.0046 0.0566 0.5836
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 2.1914247 0.0172774 126.84
## Gini100C -0.0001801 0.0006696 -0.27
## MedianHouseholdIncome2C 0.0021090 0.0022202 0.95
## Race -0.0133726 0.0049536 -2.70
## I(Gini100C^2) -0.0000076 0.0000503 -0.15
## Age0 0.0018165 0.0002588 7.02
## Sex -0.0212211 0.0045009 -4.71
## HseHldEducationDich 0.0008989 0.0048615 0.18
## PovStat -0.0042544 0.0047096 -0.90
## CVDclusterdich -0.0415526 0.0117570 -3.53
## DMMclusterdich -0.0129653 0.0057942 -2.24
## PhysBMI 0.0003231 0.0003055 1.06
## rxPsych -0.0012873 0.0063666 -0.20
## rxHTN 0.0102489 0.0058866 1.74
## rxDiabetes -0.0095741 0.0094450 -1.01
## rxHypercholesterolemia -0.0185383 0.0079837 -2.32
## SmokingCurr 0.0049727 0.0056645 0.88
## AlcoholCurr 0.0015582 0.0045791 0.34
## IllicitDrugCurr 0.0020672 0.0062445 0.33
## Gini100C:MedianHouseholdIncome2C 0.0005165 0.0003808 1.36
## Gini100C:Race 0.0002313 0.0007853 0.29
## Pr(>|t|)
## (Intercept) < 2e-16
## Gini100C 0.78800
## MedianHouseholdIncome2C 0.34226
## Race 0.00701
## I(Gini100C^2) 0.87985
## Age0 0.0000000000031
## Sex 0.0000025983102
## HseHldEducationDich 0.85332
## PovStat 0.36646
## CVDclusterdich 0.00042
## DMMclusterdich 0.02536
## PhysBMI 0.29039
## rxPsych 0.83979
## rxHTN 0.08184
## rxDiabetes 0.31087
## rxHypercholesterolemia 0.02034
## SmokingCurr 0.38013
## AlcoholCurr 0.73368
## IllicitDrugCurr 0.74065
## Gini100C:MedianHouseholdIncome2C 0.17513
## Gini100C:Race 0.76840
##
## Residual standard error: 0.0928 on 1870 degrees of freedom
## Multiple R-squared: 0.065, Adjusted R-squared: 0.055
## F-statistic: 6.5 on 20 and 1870 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 6 : I(Gini100C^2)
## --------
##
## -------------STEP 7 -------------
##
## Call:
## lm(formula = LabResCholimplog ~ Gini100C + MedianHouseholdIncome2C +
## Race + Age0 + Sex + HseHldEducationDich + PovStat + CVDclusterdich +
## DMMclusterdich + PhysBMI + rxPsych + rxHTN + rxDiabetes +
## rxHypercholesterolemia + SmokingCurr + AlcoholCurr + IllicitDrugCurr +
## Gini100C:MedianHouseholdIncome2C + Gini100C:Race, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.3286 -0.0564 0.0045 0.0563 0.5833
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 2.191120 0.017155 127.73
## Gini100C -0.000238 0.000548 -0.44
## MedianHouseholdIncome2C 0.002073 0.002207 0.94
## Race -0.013230 0.004862 -2.72
## Age0 0.001816 0.000259 7.02
## Sex -0.021249 0.004496 -4.73
## HseHldEducationDich 0.000840 0.004844 0.17
## PovStat -0.004286 0.004704 -0.91
## CVDclusterdich -0.041624 0.011745 -3.54
## DMMclusterdich -0.012995 0.005789 -2.24
## PhysBMI 0.000325 0.000305 1.07
## rxPsych -0.001329 0.006359 -0.21
## rxHTN 0.010280 0.005882 1.75
## rxDiabetes -0.009529 0.009438 -1.01
## rxHypercholesterolemia -0.018549 0.007981 -2.32
## SmokingCurr 0.004981 0.005663 0.88
## AlcoholCurr 0.001541 0.004576 0.34
## IllicitDrugCurr 0.002013 0.006232 0.32
## Gini100C:MedianHouseholdIncome2C 0.000540 0.000347 1.55
## Gini100C:Race 0.000242 0.000782 0.31
## Pr(>|t|)
## (Intercept) < 2e-16
## Gini100C 0.6635
## MedianHouseholdIncome2C 0.3476
## Race 0.0066
## Age0 0.0000000000031
## Sex 0.0000024599681
## HseHldEducationDich 0.8624
## PovStat 0.3623
## CVDclusterdich 0.0004
## DMMclusterdich 0.0249
## PhysBMI 0.2866
## rxPsych 0.8345
## rxHTN 0.0807
## rxDiabetes 0.3128
## rxHypercholesterolemia 0.0202
## SmokingCurr 0.3792
## AlcoholCurr 0.7364
## IllicitDrugCurr 0.7468
## Gini100C:MedianHouseholdIncome2C 0.1203
## Gini100C:Race 0.7565
##
## Residual standard error: 0.0928 on 1871 degrees of freedom
## Multiple R-squared: 0.065, Adjusted R-squared: 0.0555
## F-statistic: 6.85 on 19 and 1871 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 7 : Gini100C:Race
## --------
##
## -------------STEP 8 -------------
##
## Call:
## lm(formula = LabResCholimplog ~ Gini100C + MedianHouseholdIncome2C +
## Race + Age0 + Sex + HseHldEducationDich + PovStat + CVDclusterdich +
## DMMclusterdich + PhysBMI + rxPsych + rxHTN + rxDiabetes +
## rxHypercholesterolemia + SmokingCurr + AlcoholCurr + IllicitDrugCurr +
## Gini100C:MedianHouseholdIncome2C, data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.3293 -0.0568 0.0046 0.0564 0.5830
##
## Coefficients:
## Estimate Std. Error t value
## (Intercept) 2.190893 0.017135 127.86
## Gini100C -0.000108 0.000351 -0.31
## MedianHouseholdIncome2C 0.001946 0.002168 0.90
## Race -0.013464 0.004802 -2.80
## Age0 0.001820 0.000258 7.04
## Sex -0.021202 0.004492 -4.72
## HseHldEducationDich 0.000773 0.004838 0.16
## PovStat -0.004070 0.004651 -0.88
## CVDclusterdich -0.041618 0.011742 -3.54
## DMMclusterdich -0.013064 0.005784 -2.26
## PhysBMI 0.000332 0.000304 1.09
## rxPsych -0.001332 0.006358 -0.21
## rxHTN 0.010211 0.005876 1.74
## rxDiabetes -0.009412 0.009428 -1.00
## rxHypercholesterolemia -0.018576 0.007979 -2.33
## SmokingCurr 0.004935 0.005659 0.87
## AlcoholCurr 0.001496 0.004573 0.33
## IllicitDrugCurr 0.002048 0.006230 0.33
## Gini100C:MedianHouseholdIncome2C 0.000487 0.000303 1.61
## Pr(>|t|)
## (Intercept) < 2e-16
## Gini100C 0.7584
## MedianHouseholdIncome2C 0.3695
## Race 0.0051
## Age0 0.0000000000026
## Sex 0.0000025403313
## HseHldEducationDich 0.8731
## PovStat 0.3816
## CVDclusterdich 0.0004
## DMMclusterdich 0.0240
## PhysBMI 0.2757
## rxPsych 0.8341
## rxHTN 0.0824
## rxDiabetes 0.3183
## rxHypercholesterolemia 0.0200
## SmokingCurr 0.3833
## AlcoholCurr 0.7436
## IllicitDrugCurr 0.7424
## Gini100C:MedianHouseholdIncome2C 0.1078
##
## Residual standard error: 0.0928 on 1872 degrees of freedom
## Multiple R-squared: 0.065, Adjusted R-squared: 0.056
## F-statistic: 7.23 on 18 and 1872 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 8 : Gini100C:MedianHouseholdIncome2C
## --------
##
## -------------STEP 9 -------------
##
## Call:
## lm(formula = LabResCholimplog ~ Gini100C + MedianHouseholdIncome2C +
## Race + Age0 + Sex + HseHldEducationDich + PovStat + CVDclusterdich +
## DMMclusterdich + PhysBMI + rxPsych + rxHTN + rxDiabetes +
## rxHypercholesterolemia + SmokingCurr + AlcoholCurr + IllicitDrugCurr,
## data = analysisData)
##
## Residuals:
## Min 1Q Median 3Q Max
## -0.3303 -0.0559 0.0048 0.0560 0.5835
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 2.189593 0.017123 127.87 < 2e-16
## Gini100C -0.000174 0.000349 -0.50 0.61793
## MedianHouseholdIncome2C 0.001415 0.002144 0.66 0.50918
## Race -0.014189 0.004783 -2.97 0.00305
## Age0 0.001810 0.000258 7.00 0.0000000000034
## Sex -0.021539 0.004489 -4.80 0.0000017319783
## HseHldEducationDich 0.001299 0.004829 0.27 0.78796
## PovStat -0.004368 0.004649 -0.94 0.34756
## CVDclusterdich -0.042123 0.011742 -3.59 0.00034
## DMMclusterdich -0.013518 0.005779 -2.34 0.01943
## PhysBMI 0.000359 0.000304 1.18 0.23836
## rxPsych -0.001588 0.006358 -0.25 0.80284
## rxHTN 0.010075 0.005878 1.71 0.08666
## rxDiabetes -0.008781 0.009424 -0.93 0.35155
## rxHypercholesterolemia -0.018676 0.007982 -2.34 0.01940
## SmokingCurr 0.004864 0.005662 0.86 0.39041
## AlcoholCurr 0.001798 0.004571 0.39 0.69404
## IllicitDrugCurr 0.001749 0.006230 0.28 0.77895
##
## Residual standard error: 0.0928 on 1873 degrees of freedom
## Multiple R-squared: 0.0637, Adjusted R-squared: 0.0552
## F-statistic: 7.49 on 17 and 1873 DF, p-value: <2e-16
##
##
## --------
## Term dropped in step 9 : Gini100C
## --------
## Warning: All variables have been thrown out of the model.
## No model could be specified.
## ***************** END Backward Elimination: LabResCholimplog *****************************