Aim 1a Output
Dan Leibel
4/9/2019
HgbA1C Analyses
2-way interaction of CES x Age with A1C - 2-way interaction is significant
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: HgbA1C ~ (CES + cenAge)^2 + cenSex + cenPovStat + cenEducnum +
## (cenAge | HNDid)
## Data: Tasneem_1a
## Control: lmerControl(check.nobs.vs.nRE = "ignore")
##
## REML criterion at convergence: 7844
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -5.2885 -0.3221 -0.0624 0.2208 9.4909
##
## Random effects:
## Groups Name Variance Std.Dev. Corr
## HNDid (Intercept) 0.2893555 0.53792
## cenAge 0.0002703 0.01644 1.00
## Residual 0.1902020 0.43612
## Number of obs: 4278, groups: HNDid, 1942
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 5.726e+00 4.699e-02 2.017e+03 121.864 < 2e-16 ***
## CES 1.131e-03 1.317e-03 1.518e+03 0.859 0.390
## cenAge 1.353e-02 1.984e-03 3.281e+03 6.817 1.1e-11 ***
## cenSex -1.075e-02 2.684e-02 1.950e+03 -0.400 0.689
## cenPovStat 1.446e-02 2.825e-02 1.944e+03 0.512 0.609
## cenEducnum -1.186e-02 5.461e-03 1.957e+03 -2.171 0.030 *
## CES:cenAge 2.403e-04 1.127e-04 3.454e+03 2.133 0.033 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) CES cenAge cenSex cnPvSt cnEdcn
## CES -0.415
## cenAge 0.197 -0.295
## cenSex 0.575 0.090 -0.008
## cenPovStat 0.667 -0.104 0.037 0.042
## cenEducnum 0.090 0.160 0.002 0.051 0.243
## CES:cenAge -0.143 0.400 -0.786 0.006 -0.006 0.010Plot the interaction effect
## cenAge CES Hat
## Min. :-21.00 Min. : 3.23 Min. :5.337
## 1st Qu.: -9.25 1st Qu.: 3.23 1st Qu.:5.581
## Median : 2.50 Median :14.54 Median :5.778
## Mean : 2.50 Mean :14.54 Mean :5.781
## 3rd Qu.: 14.25 3rd Qu.:25.85 3rd Qu.:5.979
## Max. : 26.00 Max. :25.85 Max. :6.265
3-way interaction of CES x Race x Age with A1C - 3-way interaction is nonsignificant
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula:
## HgbA1C ~ (CES + cenAge + cenRace)^3 + cenSex + cenPovStat + cenEducnum +
## (cenAge | HNDid)
## Data: Tasneem_1a
## Control: lmerControl(check.nobs.vs.nRE = "ignore")
##
## REML criterion at convergence: 7811
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -5.3600 -0.3149 -0.0557 0.2236 9.5317
##
## Random effects:
## Groups Name Variance Std.Dev. Corr
## HNDid (Intercept) 0.2806312 0.5297
## cenAge 0.0002993 0.0173 1.00
## Residual 0.1885804 0.4343
## Number of obs: 4278, groups: HNDid, 1942
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 5.923e+00 6.469e-02 1.816e+03 91.561 < 2e-16 ***
## CES -7.390e-04 2.918e-03 1.431e+03 -0.253 0.8001
## cenAge 9.325e-03 4.446e-03 3.286e+03 2.097 0.0360 *
## cenRace 2.501e-01 4.686e-02 1.449e+03 5.338 1.09e-07 ***
## cenSex -1.358e-02 2.631e-02 1.941e+03 -0.516 0.6057
## cenPovStat -2.841e-02 2.811e-02 1.938e+03 -1.011 0.3123
## cenEducnum -9.101e-03 5.367e-03 1.954e+03 -1.696 0.0901 .
## CES:cenAge 3.275e-04 2.516e-04 3.473e+03 1.302 0.1930
## CES:cenRace -2.323e-03 2.548e-03 1.438e+03 -0.912 0.3621
## cenAge:cenRace -4.002e-03 3.974e-03 3.187e+03 -1.007 0.3140
## CES:cenAge:cenRace 8.025e-05 2.263e-04 3.345e+03 0.355 0.7229
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) CES cenAge cenRac cenSex cnPvSt cnEdcn CES:cA CES:cR
## CES -0.661
## cenAge 0.332 -0.324
## cenRace 0.694 -0.687 0.338
## cenSex 0.418 0.016 0.003 0.010
## cenPovStat 0.424 -0.068 0.037 -0.083 0.045
## cenEducnum 0.097 0.036 -0.009 0.050 0.051 0.232
## CES:cenAge -0.272 0.439 -0.789 -0.272 -0.011 -0.033 -0.010
## CES:cenRace -0.597 0.895 -0.288 -0.779 -0.027 -0.022 -0.040 0.394
## cenAge:cnRc 0.290 -0.284 0.897 0.369 0.007 0.024 -0.011 -0.708 -0.311
## CES:cnAg:cR -0.240 0.382 -0.704 -0.291 -0.015 -0.033 -0.016 0.896 0.423
## cnAg:R
## CES
## cenAge
## cenRace
## cenSex
## cenPovStat
## cenEducnum
## CES:cenAge
## CES:cenRace
## cenAge:cnRc
## CES:cnAg:cR -0.7853-way interaction of CES x Sex x Age with A1C - 3-way interaction is nonsignificant
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula:
## HgbA1C ~ (CES + cenAge + cenSex)^3 + cenRace + cenPovStat + cenEducnum +
## (cenAge | HNDid)
## Data: Tasneem_1a
## Control: lmerControl(check.nobs.vs.nRE = "ignore")
##
## REML criterion at convergence: 7808.6
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -5.3700 -0.3178 -0.0573 0.2255 9.5208
##
## Random effects:
## Groups Name Variance Std.Dev. Corr
## HNDid (Intercept) 0.2811065 0.53019
## cenAge 0.0003023 0.01739 1.00
## Residual 0.1883028 0.43394
## Number of obs: 4278, groups: HNDid, 1942
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 5.831e+00 6.625e-02 1.809e+03 88.013 < 2e-16 ***
## CES 6.116e-03 3.276e-03 1.465e+03 1.867 0.06214 .
## cenAge 1.532e-02 4.699e-03 3.394e+03 3.260 0.00113 **
## cenSex -7.787e-02 4.707e-02 1.436e+03 -1.654 0.09829 .
## cenRace 2.283e-01 2.674e-02 1.961e+03 8.536 < 2e-16 ***
## cenPovStat -2.965e-02 2.809e-02 1.940e+03 -1.056 0.29129
## cenEducnum -9.210e-03 5.360e-03 1.955e+03 -1.718 0.08589 .
## CES:cenAge 3.782e-05 2.898e-04 3.481e+03 0.131 0.89617
## CES:cenSex 4.024e-03 2.676e-03 1.439e+03 1.504 0.13279
## cenAge:cenSex 1.703e-03 4.025e-03 3.269e+03 0.423 0.67236
## CES:cenAge:cenSex -1.841e-04 2.366e-04 3.433e+03 -0.778 0.43660
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) CES cenAge cenSex cenRac cnPvSt cnEdcn CES:cA CES:cS
## CES -0.677
## cenAge 0.313 -0.315
## cenSex 0.757 -0.698 0.337
## cenRace 0.324 -0.005 0.007 0.008
## cenPovStat 0.408 -0.049 0.012 0.033 -0.173
## cenEducnum 0.061 0.091 0.004 0.007 0.049 0.231
## CES:cenAge -0.252 0.427 -0.802 -0.270 -0.012 0.007 0.007
## CES:cenSex -0.621 0.917 -0.296 -0.787 -0.025 -0.006 0.029 0.395
## cenAge:cnSx 0.281 -0.281 0.907 0.379 0.010 -0.003 0.004 -0.713 -0.317
## CES:cnAg:cS -0.237 0.394 -0.748 -0.303 -0.017 0.011 0.003 0.922 0.430
## cnAg:S
## CES
## cenAge
## cenSex
## cenRace
## cenPovStat
## cenEducnum
## CES:cenAge
## CES:cenSex
## cenAge:cnSx
## CES:cnAg:cS -0.7924-way interaction of CES x Race x Sex x Age with A1C - 4-way interaction is nonsignificant
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula:
## HgbA1C ~ (CES + cenAge + cenRace + cenSex)^4 + cenPovStat + cenEducnum +
## (cenAge | HNDid)
## Data: Tasneem_1a
## Control: lmerControl(check.nobs.vs.nRE = "ignore")
##
## REML criterion at convergence: 7867.8
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -5.3712 -0.3168 -0.0566 0.2201 9.5208
##
## Random effects:
## Groups Name Variance Std.Dev. Corr
## HNDid (Intercept) 0.2794443 0.52862
## cenAge 0.0002967 0.01723 1.00
## Residual 0.1885310 0.43420
## Number of obs: 4278, groups: HNDid, 1942
##
## Fixed effects:
## Estimate Std. Error df t value
## (Intercept) 5.818e+00 1.279e-01 1.514e+03 45.500
## CES -2.246e-03 7.434e-03 1.441e+03 -0.302
## cenAge 1.078e-02 1.069e-02 3.486e+03 1.008
## cenRace 2.156e-01 1.087e-01 1.457e+03 1.983
## cenSex -1.195e-01 1.072e-01 1.429e+03 -1.115
## cenPovStat -2.863e-02 2.813e-02 1.938e+03 -1.018
## cenEducnum -8.955e-03 5.373e-03 1.956e+03 -1.667
## CES:cenAge -7.168e-04 6.461e-04 3.605e+03 -1.109
## CES:cenRace -8.783e-03 6.572e-03 1.452e+03 -1.336
## CES:cenSex -1.138e-03 6.109e-03 1.428e+03 -0.186
## cenAge:cenRace -3.821e-03 9.468e-03 3.355e+03 -0.404
## cenAge:cenSex -1.675e-04 9.111e-03 3.353e+03 -0.018
## cenRace:cenSex -4.176e-02 9.461e-02 1.441e+03 -0.441
## CES:cenAge:cenRace -8.464e-04 5.934e-04 3.373e+03 -1.426
## CES:cenAge:cenSex -8.808e-04 5.299e-04 3.536e+03 -1.662
## CES:cenRace:cenSex -5.371e-03 5.388e-03 1.443e+03 -0.997
## cenAge:cenRace:cenSex -1.332e-03 8.130e-03 3.231e+03 -0.164
## CES:cenAge:cenRace:cenSex -7.610e-04 4.828e-04 3.347e+03 -1.576
## Pr(>|t|)
## (Intercept) <2e-16 ***
## CES 0.7626
## cenAge 0.3134
## cenRace 0.0475 *
## cenSex 0.2649
## cenPovStat 0.3089
## cenEducnum 0.0957 .
## CES:cenAge 0.2673
## CES:cenRace 0.1816
## CES:cenSex 0.8523
## cenAge:cenRace 0.6866
## cenAge:cenSex 0.9853
## cenRace:cenSex 0.6590
## CES:cenAge:cenRace 0.1539
## CES:cenAge:cenSex 0.0966 .
## CES:cenRace:cenSex 0.3190
## cenAge:cenRace:cenSex 0.8699
## CES:cenAge:cenRace:cenSex 0.1151
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 12-way interaction of EF x Age with A1C - 2-way interaction is nonsignificant
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula:
## HgbA1C ~ (EF + cenAge)^3 + cenRace + cenSex + cenPovStat + cenEducnum +
## (cenAge | HNDid)
## Data: Tasneem_1a
## Control: lmerControl(check.nobs.vs.nRE = "ignore")
##
## REML criterion at convergence: 7508.6
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -5.3810 -0.3140 -0.0567 0.2224 9.5244
##
## Random effects:
## Groups Name Variance Std.Dev. Corr
## HNDid (Intercept) 0.2830368 0.53201
## cenAge 0.0002914 0.01707 1.00
## Residual 0.1859944 0.43127
## Number of obs: 4147, groups: HNDid, 1880
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 5.932e+00 4.866e-02 1.926e+03 121.922 < 2e-16 ***
## EF 8.122e-03 7.571e-03 1.647e+03 1.073 0.2835
## cenAge 1.694e-02 1.262e-03 3.283e+03 13.418 < 2e-16 ***
## cenRace 2.361e-01 2.851e-02 1.882e+03 8.280 2.31e-16 ***
## cenSex -1.604e-02 2.669e-02 1.880e+03 -0.601 0.5479
## cenPovStat -2.166e-02 2.860e-02 1.880e+03 -0.758 0.4488
## cenEducnum -1.144e-02 5.709e-03 1.888e+03 -2.004 0.0452 *
## EF:cenAge 1.485e-05 5.656e-04 3.195e+03 0.026 0.9791
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) EF cenAge cenRac cenSex cnPvSt cnEdcn
## EF 0.157
## cenAge 0.182 0.088
## cenRace 0.471 0.264 0.052
## cenSex 0.582 -0.019 -0.003 -0.029
## cenPovStat 0.533 0.067 0.069 -0.146 0.059
## cenEducnum 0.108 -0.315 -0.038 -0.054 0.037 0.213
## EF:cenAge 0.007 0.418 -0.144 0.003 -0.010 -0.010 -0.0313-way interaction of EF x Race x Age with A1C - 3-way interaction is nonsignificant
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula:
## HgbA1C ~ (EF + cenAge + cenRace)^3 + cenSex + cenPovStat + cenEducnum +
## (cenAge | HNDid)
## Data: Tasneem_1a
## Control: lmerControl(check.nobs.vs.nRE = "ignore")
##
## REML criterion at convergence: 7531.3
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -5.3514 -0.3118 -0.0552 0.2252 9.5227
##
## Random effects:
## Groups Name Variance Std.Dev. Corr
## HNDid (Intercept) 0.2821338 0.53116
## cenAge 0.0002914 0.01707 1.00
## Residual 0.1860979 0.43139
## Number of obs: 4147, groups: HNDid, 1880
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 5.915e+00 5.037e-02 1.915e+03 117.423 < 2e-16 ***
## EF 3.679e-02 1.690e-02 1.414e+03 2.177 0.0296 *
## cenAge 1.417e-02 2.889e-03 3.310e+03 4.906 9.73e-07 ***
## cenRace 2.093e-01 3.171e-02 1.454e+03 6.598 5.81e-11 ***
## cenSex -1.608e-02 2.666e-02 1.877e+03 -0.603 0.5464
## cenPovStat -2.051e-02 2.857e-02 1.876e+03 -0.718 0.4729
## cenEducnum -9.439e-03 5.771e-03 1.884e+03 -1.636 0.1021
## EF:cenAge 5.511e-04 1.392e-03 3.179e+03 0.396 0.6923
## EF:cenRace 2.897e-02 1.448e-02 1.424e+03 2.001 0.0456 *
## cenAge:cenRace -3.124e-03 2.749e-03 3.259e+03 -1.136 0.2559
## EF:cenAge:cenRace 7.689e-04 1.206e-03 3.244e+03 0.637 0.5238
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) EF cenAge cenRac cenSex cnPvSt cnEdcn EF:cnA EF:cnR
## EF 0.089
## cenAge 0.295 0.154
## cenRace 0.517 0.004 0.353
## cenSex 0.559 -0.017 -0.012 -0.029
## cenPovStat 0.513 0.045 0.028 -0.136 0.059
## cenEducnum 0.089 -0.021 -0.037 -0.091 0.036 0.213
## EF:cenAge 0.097 0.453 0.057 0.088 -0.009 -0.001 -0.009
## EF:cenRace 0.005 0.892 0.088 -0.144 -0.008 0.017 0.136 0.408
## cenAge:cnRc 0.228 0.085 0.889 0.357 -0.011 -0.003 -0.025 -0.051 0.025
## EF:cnAg:cnR 0.063 0.405 -0.057 0.030 -0.004 0.004 0.011 0.902 0.450
## cnAg:R
## EF
## cenAge
## cenRace
## cenSex
## cenPovStat
## cenEducnum
## EF:cenAge
## EF:cenRace
## cenAge:cnRc
## EF:cnAg:cnR -0.2173-way interaction of EF x Sex x Age with A1C - 3-way interaction is significant
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula:
## HgbA1C ~ (EF + cenAge + cenSex)^3 + cenRace + cenPovStat + cenEducnum +
## (cenAge | HNDid)
## Data: Tasneem_1a
## Control: lmerControl(check.nobs.vs.nRE = "ignore")
##
## REML criterion at convergence: 7532.7
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -5.3747 -0.3156 -0.0557 0.2241 9.5352
##
## Random effects:
## Groups Name Variance Std.Dev. Corr
## HNDid (Intercept) 0.2823979 0.53141
## cenAge 0.0002894 0.01701 1.00
## Residual 0.1860733 0.43136
## Number of obs: 4147, groups: HNDid, 1880
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 5.923e+00 5.041e-02 1.903e+03 117.495 < 2e-16 ***
## EF 2.570e-02 1.550e-02 1.443e+03 1.658 0.0975 .
## cenAge 1.445e-02 2.887e-03 3.333e+03 5.005 5.87e-07 ***
## cenSex -2.368e-02 2.957e-02 1.415e+03 -0.801 0.4233
## cenRace 2.361e-01 2.853e-02 1.884e+03 8.276 2.39e-16 ***
## cenPovStat -2.337e-02 2.861e-02 1.883e+03 -0.817 0.4142
## cenEducnum -1.176e-02 5.711e-03 1.888e+03 -2.058 0.0397 *
## EF:cenAge 2.288e-03 1.268e-03 3.267e+03 1.804 0.0713 .
## EF:cenSex 1.743e-02 1.364e-02 1.390e+03 1.277 0.2017
## cenAge:cenSex -2.441e-03 2.528e-03 3.274e+03 -0.966 0.3342
## EF:cenAge:cenSex 2.272e-03 1.133e-03 3.202e+03 2.004 0.0451 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) EF cenAge cenSex cenRac cnPvSt cnEdcn EF:cnA EF:cnS
## EF 0.012
## cenAge 0.284 0.054
## cenSex 0.620 -0.087 0.340
## cenRace 0.455 0.100 0.008 -0.026
## cenPovStat 0.515 0.038 0.048 0.054 -0.147
## cenEducnum 0.102 -0.147 -0.008 0.029 -0.055 0.214
## EF:cenAge 0.016 0.456 -0.134 0.042 0.007 -0.032 -0.042
## EF:cenSex -0.071 0.873 0.044 -0.090 -0.033 0.006 0.008 0.408
## cenAge:cnSx 0.229 0.043 0.899 0.377 -0.017 0.020 0.010 -0.125 0.054
## EF:cnAg:cnS 0.014 0.405 -0.123 0.050 0.006 -0.031 -0.031 0.895 0.453
## cnAg:S
## EF
## cenAge
## cenSex
## cenRace
## cenPovStat
## cenEducnum
## EF:cenAge
## EF:cenSex
## cenAge:cnSx
## EF:cnAg:cnS -0.144Plot the interaction effect
Add level 2 covariates - 3-way interaction becomes nonsignificant, could be due to loss of power from small sample size
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula:
## HgbA1C ~ (EF + cenAge + cenSex)^3 + cenRace + cenPovStat + cenEducnum +
## cenCiguser.dich + cenAlcCurr + cenBMI + cenDxHTN + (cenAge |
## HNDid)
## Data: Tasneem_1a
## Control: lmerControl(check.nobs.vs.nRE = "ignore")
##
## REML criterion at convergence: 6265
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -4.9354 -0.3251 -0.0592 0.2180 9.9667
##
## Random effects:
## Groups Name Variance Std.Dev. Corr
## HNDid (Intercept) 0.2370406 0.48687
## cenAge 0.0002208 0.01486 1.00
## Residual 0.1717995 0.41449
## Number of obs: 3626, groups: HNDid, 1732
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 5.984e+00 6.197e-02 2.107e+03 96.560 < 2e-16 ***
## EF 1.885e-02 1.503e-02 1.435e+03 1.254 0.2100
## cenAge 1.209e-02 2.917e-03 3.053e+03 4.145 3.50e-05 ***
## cenSex 6.248e-02 2.937e-02 1.462e+03 2.128 0.0335 *
## cenRace 2.199e-01 2.806e-02 1.681e+03 7.839 8.01e-15 ***
## cenPovStat -1.199e-02 2.841e-02 1.680e+03 -0.422 0.6732
## cenEducnum -5.562e-03 5.774e-03 1.679e+03 -0.963 0.3355
## cenCiguser.dich 2.891e-02 2.921e-02 1.723e+03 0.990 0.3225
## cenAlcCurr -8.850e-02 2.145e-02 3.422e+03 -4.125 3.79e-05 ***
## cenBMI 2.091e-02 1.754e-03 2.422e+03 11.919 < 2e-16 ***
## cenDxHTN 4.709e-02 2.364e-02 3.439e+03 1.992 0.0465 *
## EF:cenAge 1.394e-03 1.264e-03 2.959e+03 1.103 0.2699
## EF:cenSex 1.088e-02 1.334e-02 1.397e+03 0.815 0.4149
## cenAge:cenSex -2.170e-03 2.557e-03 3.012e+03 -0.849 0.3961
## EF:cenAge:cenSex 1.474e-03 1.150e-03 2.929e+03 1.282 0.1999
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 14-way interaction of EF x Race x Sex x Age with A1C - 4-way interaction was nonsignificant
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula:
## HgbA1C ~ (EF + cenAge + cenRace + cenSex)^4 + cenPovStat + cenEducnum +
## (cenAge | HNDid)
## Data: Tasneem_1a
## Control: lmerControl(check.nobs.vs.nRE = "ignore")
##
## REML criterion at convergence: 7578.6
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -5.3369 -0.3156 -0.0583 0.2233 9.5260
##
## Random effects:
## Groups Name Variance Std.Dev. Corr
## HNDid (Intercept) 0.2812403 0.53032
## cenAge 0.0002868 0.01694 1.00
## Residual 0.1861766 0.43148
## Number of obs: 4147, groups: HNDid, 1880
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 5.822e+00 8.116e-02 1.518e+03 71.729 <2e-16
## EF 6.423e-02 3.692e-02 1.397e+03 1.740 0.0821
## cenAge 3.042e-03 6.559e-03 3.349e+03 0.464 0.6428
## cenRace 1.187e-01 7.205e-02 1.447e+03 1.648 0.0996
## cenSex -1.049e-01 6.832e-02 1.399e+03 -1.535 0.1250
## cenPovStat -2.118e-02 2.859e-02 1.877e+03 -0.741 0.4589
## cenEducnum -9.823e-03 5.777e-03 1.883e+03 -1.700 0.0892
## EF:cenAge 5.510e-03 3.044e-03 3.245e+03 1.810 0.0704
## EF:cenRace 4.481e-02 3.183e-02 1.406e+03 1.408 0.1594
## EF:cenSex 2.685e-02 3.373e-02 1.407e+03 0.796 0.4261
## cenAge:cenRace -1.292e-02 6.239e-03 3.246e+03 -2.070 0.0385
## cenAge:cenSex -1.070e-02 5.798e-03 3.306e+03 -1.846 0.0650
## cenRace:cenSex -8.686e-02 6.310e-02 1.432e+03 -1.376 0.1689
## EF:cenAge:cenRace 3.849e-03 2.671e-03 3.240e+03 1.441 0.1496
## EF:cenAge:cenSex 5.069e-03 2.786e-03 3.171e+03 1.819 0.0689
## EF:cenRace:cenSex 1.569e-02 2.871e-02 1.403e+03 0.547 0.5847
## cenAge:cenRace:cenSex -9.444e-03 5.523e-03 3.260e+03 -1.710 0.0874
## EF:cenAge:cenRace:cenSex 3.176e-03 2.416e-03 3.233e+03 1.315 0.1887
##
## (Intercept) ***
## EF .
## cenAge
## cenRace .
## cenSex
## cenPovStat
## cenEducnum .
## EF:cenAge .
## EF:cenRace
## EF:cenSex
## cenAge:cenRace *
## cenAge:cenSex .
## cenRace:cenSex
## EF:cenAge:cenRace
## EF:cenAge:cenSex .
## EF:cenRace:cenSex
## cenAge:cenRace:cenSex .
## EF:cenAge:cenRace:cenSex
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 14-way interaction of CES x EF x Race x Age with A1C - 4-way interaction was nonsignificant
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula:
## HgbA1C ~ (cenCES + cenEF + cenAge + cenRace)^4 + cenSex + cenPovStat +
## cenEducnum + (cenAge | HNDid)
## Data: Tasneem_1a
## Control: lmerControl(check.nobs.vs.nRE = "ignore")
##
## REML criterion at convergence: 7629.4
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -5.3677 -0.3110 -0.0564 0.2267 9.5195
##
## Random effects:
## Groups Name Variance Std.Dev. Corr
## HNDid (Intercept) 0.2827510 0.53174
## cenAge 0.0002919 0.01709 1.00
## Residual 0.1864823 0.43184
## Number of obs: 4139, groups: HNDid, 1877
##
## Fixed effects:
## Estimate Std. Error df t value
## (Intercept) 5.934e+00 5.168e-02 1.897e+03 114.813
## cenCES 8.956e-05 3.347e-03 1.402e+03 0.027
## cenEF 3.488e-02 1.733e-02 1.436e+03 2.013
## cenAge 1.458e-02 3.019e-03 3.310e+03 4.828
## cenRace 2.255e-01 3.236e-02 1.457e+03 6.971
## cenSex -1.415e-02 2.686e-02 1.873e+03 -0.527
## cenPovStat -2.343e-02 2.884e-02 1.869e+03 -0.812
## cenEducnum -8.936e-03 5.836e-03 1.888e+03 -1.531
## cenCES:cenEF 4.545e-04 1.493e-03 1.435e+03 0.304
## cenCES:cenAge 3.046e-04 2.868e-04 3.307e+03 1.062
## cenCES:cenRace -1.780e-03 2.822e-03 1.422e+03 -0.631
## cenEF:cenAge 9.466e-04 1.427e-03 3.187e+03 0.664
## cenEF:cenRace 2.614e-02 1.488e-02 1.439e+03 1.756
## cenAge:cenRace -2.687e-03 2.759e-03 3.234e+03 -0.974
## cenCES:cenEF:cenAge -1.441e-05 1.255e-04 3.378e+03 -0.115
## cenCES:cenEF:cenRace 5.394e-04 1.293e-03 1.442e+03 0.417
## cenCES:cenAge:cenRace 5.747e-05 2.550e-04 3.252e+03 0.225
## cenEF:cenAge:cenRace 9.300e-04 1.240e-03 3.236e+03 0.750
## cenCES:cenEF:cenAge:cenRace 1.827e-05 1.148e-04 3.374e+03 0.159
## Pr(>|t|)
## (Intercept) < 2e-16 ***
## cenCES 0.9787
## cenEF 0.0443 *
## cenAge 1.44e-06 ***
## cenRace 4.77e-12 ***
## cenSex 0.5985
## cenPovStat 0.4166
## cenEducnum 0.1259
## cenCES:cenEF 0.7609
## cenCES:cenAge 0.2883
## cenCES:cenRace 0.5283
## cenEF:cenAge 0.5070
## cenEF:cenRace 0.0793 .
## cenAge:cenRace 0.3303
## cenCES:cenEF:cenAge 0.9086
## cenCES:cenEF:cenRace 0.6767
## cenCES:cenAge:cenRace 0.8217
## cenEF:cenAge:cenRace 0.4535
## cenCES:cenEF:cenAge:cenRace 0.8736
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 14-way interaction of CES x EF x Sex x Age with A1C - 4-way interaction was nonsignificant
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula:
## HgbA1C ~ (cenCES + cenEF + cenAge + cenSex)^4 + cenRace + cenPovStat +
## cenEducnum + (cenAge | HNDid)
## Data: Tasneem_1a
## Control: lmerControl(check.nobs.vs.nRE = "ignore")
##
## REML criterion at convergence: 7627.2
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -5.4059 -0.3152 -0.0559 0.2234 9.5346
##
## Random effects:
## Groups Name Variance Std.Dev. Corr
## HNDid (Intercept) 0.2828641 0.53185
## cenAge 0.0002912 0.01707 1.00
## Residual 0.1862578 0.43158
## Number of obs: 4139, groups: HNDid, 1877
##
## Fixed effects:
## Estimate Std. Error df t value
## (Intercept) 5.933e+00 5.149e-02 1.890e+03 115.232
## cenCES 5.937e-03 3.452e-03 1.418e+03 1.720
## cenEF 3.045e-02 1.604e-02 1.434e+03 1.898
## cenAge 1.520e-02 3.007e-03 3.336e+03 5.053
## cenSex -1.783e-02 3.054e-02 1.421e+03 -0.584
## cenRace 2.367e-01 2.869e-02 1.875e+03 8.249
## cenPovStat -2.734e-02 2.884e-02 1.872e+03 -0.948
## cenEducnum -1.055e-02 5.778e-03 1.890e+03 -1.825
## cenCES:cenEF -5.009e-04 1.499e-03 1.412e+03 -0.334
## cenCES:cenAge 9.916e-05 3.064e-04 3.392e+03 0.324
## cenCES:cenSex 3.702e-03 2.819e-03 1.399e+03 1.313
## cenEF:cenAge 1.958e-03 1.347e-03 3.269e+03 1.454
## cenEF:cenSex 2.155e-02 1.413e-02 1.409e+03 1.525
## cenAge:cenSex -1.594e-03 2.599e-03 3.259e+03 -0.613
## cenCES:cenEF:cenAge -1.526e-04 1.353e-04 3.380e+03 -1.128
## cenCES:cenEF:cenSex -6.412e-04 1.261e-03 1.423e+03 -0.508
## cenCES:cenAge:cenSex -1.402e-04 2.488e-04 3.310e+03 -0.563
## cenEF:cenAge:cenSex 1.831e-03 1.184e-03 3.203e+03 1.546
## cenCES:cenEF:cenAge:cenSex -1.106e-04 1.107e-04 3.346e+03 -0.999
## Pr(>|t|)
## (Intercept) < 2e-16 ***
## cenCES 0.0857 .
## cenEF 0.0579 .
## cenAge 4.58e-07 ***
## cenSex 0.5594
## cenRace 2.98e-16 ***
## cenPovStat 0.3433
## cenEducnum 0.0681 .
## cenCES:cenEF 0.7383
## cenCES:cenAge 0.7462
## cenCES:cenSex 0.1894
## cenEF:cenAge 0.1461
## cenEF:cenSex 0.1275
## cenAge:cenSex 0.5398
## cenCES:cenEF:cenAge 0.2593
## cenCES:cenEF:cenSex 0.6112
## cenCES:cenAge:cenSex 0.5732
## cenEF:cenAge:cenSex 0.1223
## cenCES:cenEF:cenAge:cenSex 0.3178
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 15-way interaction of CES x EF x Race x Sex x Age with A1C - 5-way interaction was nonsignificant
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula:
## HgbA1C ~ (cenCES + cenEF + cenAge + cenRace + cenSex)^5 + cenPovStat +
## cenEducnum + (cenAge | HNDid)
## Data: Tasneem_1a
## Control: lmerControl(check.nobs.vs.nRE = "ignore")
##
## REML criterion at convergence: 7766.8
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -5.3611 -0.3166 -0.0559 0.2226 9.5348
##
## Random effects:
## Groups Name Variance Std.Dev. Corr
## HNDid (Intercept) 0.2812578 0.53034
## cenAge 0.0002821 0.01679 1.00
## Residual 0.1866187 0.43199
## Number of obs: 4139, groups: HNDid, 1877
##
## Fixed effects:
## Estimate Std. Error df
## (Intercept) 5.822e+00 8.560e-02 1.496e+03
## cenCES -5.750e-03 8.303e-03 1.405e+03
## cenEF 6.088e-02 3.816e-02 1.399e+03
## cenAge 1.370e-03 6.938e-03 3.404e+03
## cenRace 1.117e-01 7.404e-02 1.443e+03
## cenSex -1.177e-01 7.245e-02 1.397e+03
## cenPovStat -2.401e-02 2.895e-02 1.862e+03
## cenEducnum -9.265e-03 5.869e-03 1.884e+03
## cenCES:cenEF -1.748e-03 3.661e-03 1.446e+03
## cenCES:cenAge -1.166e-03 7.215e-04 3.593e+03
## cenCES:cenRace -1.104e-02 7.102e-03 1.423e+03
## cenCES:cenSex -5.465e-03 6.928e-03 1.395e+03
## cenEF:cenAge 4.472e-03 3.174e-03 3.283e+03
## cenEF:cenRace 3.726e-02 3.306e-02 1.409e+03
## cenEF:cenSex 2.593e-02 3.489e-02 1.433e+03
## cenAge:cenRace -1.490e-02 6.357e-03 3.266e+03
## cenAge:cenSex -1.205e-02 6.101e-03 3.330e+03
## cenRace:cenSex -1.033e-01 6.492e-02 1.429e+03
## cenCES:cenEF:cenAge -3.964e-04 3.213e-04 3.593e+03
## cenCES:cenEF:cenRace -6.595e-04 3.123e-03 1.470e+03
## cenCES:cenEF:cenSex -2.282e-03 3.104e-03 1.467e+03
## cenCES:cenAge:cenRace -1.226e-03 6.543e-04 3.353e+03
## cenCES:cenAge:cenSex -1.305e-03 5.994e-04 3.455e+03
## cenCES:cenRace:cenSex -8.198e-03 5.913e-03 1.421e+03
## cenEF:cenAge:cenRace 3.252e-03 2.857e-03 3.253e+03
## cenEF:cenAge:cenSex 3.864e-03 2.883e-03 3.187e+03
## cenEF:cenRace:cenSex 1.167e-02 2.978e-02 1.418e+03
## cenAge:cenRace:cenSex -1.112e-02 5.604e-03 3.232e+03
## cenCES:cenEF:cenAge:cenRace -1.383e-04 2.953e-04 3.550e+03
## cenCES:cenEF:cenAge:cenSex -3.717e-04 2.661e-04 3.522e+03
## cenCES:cenEF:cenRace:cenSex -1.221e-03 2.668e-03 1.465e+03
## cenCES:cenAge:cenRace:cenSex -1.111e-03 5.393e-04 3.300e+03
## cenEF:cenAge:cenRace:cenSex 2.505e-03 2.539e-03 3.227e+03
## cenCES:cenEF:cenAge:cenRace:cenSex -1.612e-04 2.440e-04 3.472e+03
## t value Pr(>|t|)
## (Intercept) 68.016 <2e-16 ***
## cenCES -0.692 0.4888
## cenEF 1.595 0.1109
## cenAge 0.197 0.8435
## cenRace 1.508 0.1317
## cenSex -1.624 0.1045
## cenPovStat -0.830 0.4069
## cenEducnum -1.578 0.1146
## cenCES:cenEF -0.477 0.6331
## cenCES:cenAge -1.616 0.1062
## cenCES:cenRace -1.555 0.1202
## cenCES:cenSex -0.789 0.4303
## cenEF:cenAge 1.409 0.1589
## cenEF:cenRace 1.127 0.2599
## cenEF:cenSex 0.743 0.4575
## cenAge:cenRace -2.344 0.0191 *
## cenAge:cenSex -1.975 0.0484 *
## cenRace:cenSex -1.591 0.1118
## cenCES:cenEF:cenAge -1.234 0.2174
## cenCES:cenEF:cenRace -0.211 0.8328
## cenCES:cenEF:cenSex -0.735 0.4624
## cenCES:cenAge:cenRace -1.874 0.0610 .
## cenCES:cenAge:cenSex -2.177 0.0296 *
## cenCES:cenRace:cenSex -1.386 0.1658
## cenEF:cenAge:cenRace 1.138 0.2550
## cenEF:cenAge:cenSex 1.340 0.1803
## cenEF:cenRace:cenSex 0.392 0.6953
## cenAge:cenRace:cenSex -1.985 0.0473 *
## cenCES:cenEF:cenAge:cenRace -0.468 0.6396
## cenCES:cenEF:cenAge:cenSex -1.397 0.1625
## cenCES:cenEF:cenRace:cenSex -0.458 0.6473
## cenCES:cenAge:cenRace:cenSex -2.061 0.0394 *
## cenEF:cenAge:cenRace:cenSex 0.987 0.3239
## cenCES:cenEF:cenAge:cenRace:cenSex -0.661 0.5088
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1Glucose Analyses
2-way interaction of CES x Age with Glucose - 2-way interaction was significant
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: Glucose ~ (CES + cenAge)^2 + cenSex + cenPovStat + cenEducnum +
## (cenAge | HNDid)
## Data: Tasneem_1a
## Control: lmerControl(check.nobs.vs.nRE = "ignore")
##
## REML criterion at convergence: 36609.8
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -6.3595 -0.3399 -0.0617 0.2418 12.0150
##
## Random effects:
## Groups Name Variance Std.Dev. Corr
## HNDid (Intercept) 192.481 13.874
## cenAge 0.284 0.533 1.00
## Residual 172.501 13.134
## Number of obs: 4289, groups: HNDid, 1948
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 9.709e+01 1.255e+00 2.086e+03 77.389 < 2e-16 ***
## CES 5.647e-02 3.560e-02 1.513e+03 1.586 0.11290
## cenAge 2.124e-01 5.571e-02 3.041e+03 3.813 0.00014 ***
## cenSex 3.457e+00 7.132e-01 2.000e+03 4.847 1.35e-06 ***
## cenPovStat -1.135e+00 7.502e-01 2.004e+03 -1.513 0.13047
## cenEducnum -3.246e-01 1.451e-01 2.016e+03 -2.237 0.02541 *
## CES:cenAge 8.214e-03 3.158e-03 3.225e+03 2.601 0.00933 **
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) CES cenAge cenSex cnPvSt cnEdcn
## CES -0.419
## cenAge 0.217 -0.324
## cenSex 0.572 0.090 -0.011
## cenPovStat 0.663 -0.102 0.035 0.043
## cenEducnum 0.087 0.159 0.002 0.048 0.244
## CES:cenAge -0.158 0.433 -0.787 0.009 -0.007 0.009Plot the interaction effect
## cenAge CES Hat
## Min. :-21.00 Min. : 3.23 Min. : 87.31
## 1st Qu.: -9.25 1st Qu.: 3.23 1st Qu.: 92.52
## Median : 2.50 Median :14.54 Median : 96.24
## Mean : 2.50 Mean :14.54 Mean : 96.42
## 3rd Qu.: 14.25 3rd Qu.:25.85 3rd Qu.: 99.99
## Max. : 26.00 Max. :25.85 Max. :107.27
3-way interaction of CES x Race x Age with Glucose - 3-way interaction was nonsignificant
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: Glucose ~ (CES + cenAge + cenRace)^3 + cenSex + cenPovStat +
## cenEducnum + (cenAge | HNDid)
## Data: Tasneem_1a
## Control: lmerControl(check.nobs.vs.nRE = "ignore")
##
## REML criterion at convergence: 36621.6
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -6.3552 -0.3388 -0.0612 0.2380 12.0204
##
## Random effects:
## Groups Name Variance Std.Dev. Corr
## HNDid (Intercept) 192.7170 13.8823
## cenAge 0.2825 0.5315 1.00
## Residual 172.5001 13.1339
## Number of obs: 4289, groups: HNDid, 1948
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 9.576e+01 1.765e+00 1.840e+03 54.252 < 2e-16 ***
## CES 1.009e-01 7.957e-02 1.443e+03 1.268 0.2050
## cenAge 1.009e-01 1.260e-01 3.101e+03 0.801 0.4231
## cenRace -1.444e+00 1.283e+00 1.451e+03 -1.126 0.2604
## cenSex 3.456e+00 7.141e-01 1.994e+03 4.839 1.4e-06 ***
## cenPovStat -1.022e+00 7.626e-01 2.002e+03 -1.340 0.1802
## cenEducnum -3.353e-01 1.457e-01 2.017e+03 -2.302 0.0215 *
## CES:cenAge 1.534e-02 7.115e-03 3.297e+03 2.156 0.0312 *
## CES:cenRace 4.483e-02 6.968e-02 1.445e+03 0.643 0.5201
## cenAge:cenRace -1.112e-01 1.125e-01 3.005e+03 -0.988 0.3230
## CES:cenAge:cenRace 7.142e-03 6.399e-03 3.171e+03 1.116 0.2644
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) CES cenAge cenRac cenSex cnPvSt cnEdcn CES:cA CES:cR
## CES -0.662
## cenAge 0.344 -0.335
## cenRace 0.696 -0.687 0.352
## cenSex 0.417 0.016 0.001 0.011
## cenPovStat 0.422 -0.068 0.037 -0.082 0.045
## cenEducnum 0.095 0.035 -0.009 0.051 0.048 0.232
## CES:cenAge -0.280 0.450 -0.789 -0.281 -0.009 -0.034 -0.010
## CES:cenRace -0.597 0.894 -0.297 -0.779 -0.027 -0.022 -0.041 0.404
## cenAge:cnRc 0.303 -0.294 0.897 0.386 0.007 0.024 -0.011 -0.708 -0.323
## CES:cnAg:cR -0.249 0.394 -0.703 -0.303 -0.014 -0.035 -0.016 0.896 0.438
## cnAg:R
## CES
## cenAge
## cenRace
## cenSex
## cenPovStat
## cenEducnum
## CES:cenAge
## CES:cenRace
## cenAge:cnRc
## CES:cnAg:cR -0.7863-way interaction of CES x Sex x Age with Glucose - 3-way interaction was nonsignificant
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: Glucose ~ (CES + cenAge + cenSex)^3 + cenRace + cenPovStat +
## cenEducnum + (cenAge | HNDid)
## Data: Tasneem_1a
## Control: lmerControl(check.nobs.vs.nRE = "ignore")
##
## REML criterion at convergence: 36620
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -6.3620 -0.3391 -0.0616 0.2379 12.0168
##
## Random effects:
## Groups Name Variance Std.Dev. Corr
## HNDid (Intercept) 192.4093 13.8712
## cenAge 0.2825 0.5316 1.00
## Residual 172.5356 13.1353
## Number of obs: 4289, groups: HNDid, 1948
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 9.496e+01 1.809e+00 1.829e+03 52.491 <2e-16 ***
## CES 1.811e-01 8.978e-02 1.475e+03 2.017 0.0439 *
## cenAge 2.030e-01 1.336e-01 3.221e+03 1.520 0.1286
## cenSex 2.128e+00 1.288e+00 1.442e+03 1.653 0.0986 .
## cenRace -8.165e-01 7.256e-01 2.023e+03 -1.125 0.2606
## cenPovStat -9.950e-01 7.619e-01 2.005e+03 -1.306 0.1917
## cenEducnum -3.251e-01 1.454e-01 2.017e+03 -2.235 0.0255 *
## CES:cenAge 1.259e-02 8.233e-03 3.322e+03 1.529 0.1263
## CES:cenSex 1.114e-01 7.319e-02 1.449e+03 1.522 0.1283
## cenAge:cenSex -4.924e-03 1.141e-01 3.091e+03 -0.043 0.9656
## CES:cenAge:cenSex 3.769e-03 6.706e-03 3.267e+03 0.562 0.5742
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) CES cenAge cenSex cenRac cnPvSt cnEdcn CES:cA CES:cS
## CES -0.678
## cenAge 0.324 -0.325
## cenSex 0.759 -0.698 0.349
## cenRace 0.323 -0.006 0.007 0.010
## cenPovStat 0.406 -0.047 0.012 0.032 -0.171
## cenEducnum 0.060 0.091 0.004 0.006 0.050 0.231
## CES:cenAge -0.261 0.440 -0.803 -0.278 -0.013 0.008 0.008
## CES:cenSex -0.623 0.918 -0.305 -0.787 -0.025 -0.005 0.029 0.407
## cenAge:cnSx 0.292 -0.290 0.908 0.392 0.009 -0.003 0.004 -0.715 -0.327
## CES:cnAg:cS -0.245 0.406 -0.749 -0.313 -0.016 0.011 0.004 0.923 0.442
## cnAg:S
## CES
## cenAge
## cenSex
## cenRace
## cenPovStat
## cenEducnum
## CES:cenAge
## CES:cenSex
## cenAge:cnSx
## CES:cnAg:cS -0.7934-way interaction of CES x Race x Sex x Age with Glucose - 4-way interaction was nonsignificant
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula: Glucose ~ (CES + cenAge + cenRace + cenSex)^4 + cenPovStat +
## cenEducnum + (cenAge | HNDid)
## Data: Tasneem_1a
## Control: lmerControl(check.nobs.vs.nRE = "ignore")
##
## REML criterion at convergence: 36628.6
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -6.3077 -0.3381 -0.0629 0.2403 12.0559
##
## Random effects:
## Groups Name Variance Std.Dev. Corr
## HNDid (Intercept) 190.8906 13.816
## cenAge 0.2777 0.527 1.00
## Residual 172.6263 13.139
## Number of obs: 4289, groups: HNDid, 1948
##
## Fixed effects:
## Estimate Std. Error df t value
## (Intercept) 9.524e+01 3.497e+00 1.526e+03 27.235
## CES -1.924e-01 2.034e-01 1.452e+03 -0.946
## cenAge 6.343e-02 3.043e-01 3.318e+03 0.208
## cenRace -7.014e-01 2.974e+00 1.468e+03 -0.236
## cenSex 2.427e+00 2.928e+00 1.438e+03 0.829
## cenPovStat -9.148e-01 7.627e-01 2.000e+03 -1.199
## cenEducnum -3.231e-01 1.457e-01 2.015e+03 -2.217
## CES:cenAge 2.071e-03 1.838e-02 3.454e+03 0.113
## CES:cenRace -3.742e-01 1.801e-01 1.462e+03 -2.078
## CES:cenSex -2.436e-01 1.667e-01 1.441e+03 -1.461
## cenAge:cenRace -1.231e-01 2.688e-01 3.187e+03 -0.458
## cenAge:cenSex -5.820e-02 2.585e-01 3.177e+03 -0.225
## cenRace:cenSex 2.018e-01 2.587e+00 1.448e+03 0.078
## CES:cenAge:cenRace -1.217e-02 1.681e-02 3.225e+03 -0.724
## CES:cenAge:cenSex -1.069e-02 1.503e-02 3.375e+03 -0.712
## CES:cenRace:cenSex -3.507e-01 1.474e-01 1.453e+03 -2.379
## cenAge:cenRace:cenSex -4.424e-02 2.302e-01 3.059e+03 -0.192
## CES:cenAge:cenRace:cenSex -1.528e-02 1.366e-02 3.189e+03 -1.119
## Pr(>|t|)
## (Intercept) <2e-16 ***
## CES 0.3442
## cenAge 0.8349
## cenRace 0.8136
## cenSex 0.4073
## cenPovStat 0.2305
## cenEducnum 0.0267 *
## CES:cenAge 0.9103
## CES:cenRace 0.0379 *
## CES:cenSex 0.1441
## cenAge:cenRace 0.6469
## cenAge:cenSex 0.8219
## cenRace:cenSex 0.9378
## CES:cenAge:cenRace 0.4693
## CES:cenAge:cenSex 0.4768
## CES:cenRace:cenSex 0.0175 *
## cenAge:cenRace:cenSex 0.8476
## CES:cenAge:cenRace:cenSex 0.2634
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 12-way interaction of EF x Age with Glucose - 2-way interaction was nonsignificant
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula:
## Glucose ~ (EF + cenAge)^3 + cenRace + cenSex + cenPovStat + cenEducnum +
## (cenAge | HNDid)
## Data: Tasneem_1a
## Control: lmerControl(check.nobs.vs.nRE = "ignore")
##
## REML criterion at convergence: 35430.3
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -6.4336 -0.3393 -0.0621 0.2375 12.0699
##
## Random effects:
## Groups Name Variance Std.Dev. Corr
## HNDid (Intercept) 194.7609 13.9557
## cenAge 0.2791 0.5283 1.00
## Residual 170.0685 13.0410
## Number of obs: 4155, groups: HNDid, 1885
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 9.717e+01 1.321e+00 1.966e+03 73.555 < 2e-16 ***
## EF 3.501e-03 2.075e-01 1.660e+03 0.017 0.9865
## cenAge 3.249e-01 3.580e-02 3.114e+03 9.076 < 2e-16 ***
## cenRace -7.855e-01 7.726e-01 1.925e+03 -1.017 0.3094
## cenSex 3.370e+00 7.235e-01 1.923e+03 4.658 3.41e-06 ***
## cenPovStat -8.856e-01 7.749e-01 1.933e+03 -1.143 0.2532
## cenEducnum -3.491e-01 1.548e-01 1.938e+03 -2.255 0.0243 *
## EF:cenAge -6.458e-03 1.606e-02 3.024e+03 -0.402 0.6877
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) EF cenAge cenRac cenSex cnPvSt cnEdcn
## EF 0.154
## cenAge 0.187 0.086
## cenRace 0.471 0.260 0.052
## cenSex 0.583 -0.019 -0.004 -0.028
## cenPovStat 0.533 0.066 0.067 -0.145 0.060
## cenEducnum 0.106 -0.314 -0.041 -0.053 0.034 0.214
## EF:cenAge 0.006 0.437 -0.148 0.003 -0.011 -0.010 -0.0313-way interaction of EF x Race x Age with Glucose - 3-way interaction was nonsignificant
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula:
## Glucose ~ (EF + cenAge + cenRace)^3 + cenSex + cenPovStat + cenEducnum +
## (cenAge | HNDid)
## Data: Tasneem_1a
## Control: lmerControl(check.nobs.vs.nRE = "ignore")
##
## REML criterion at convergence: 35434.8
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -6.4139 -0.3399 -0.0604 0.2366 12.0902
##
## Random effects:
## Groups Name Variance Std.Dev. Corr
## HNDid (Intercept) 194.4265 13.9437
## cenAge 0.2796 0.5288 1.00
## Residual 170.1283 13.0433
## Number of obs: 4155, groups: HNDid, 1885
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 9.695e+01 1.374e+00 1.946e+03 70.581 < 2e-16 ***
## EF 7.352e-01 4.642e-01 1.422e+03 1.584 0.113445
## cenAge 3.132e-01 8.198e-02 3.132e+03 3.821 0.000136 ***
## cenRace -1.242e+00 8.689e-01 1.455e+03 -1.430 0.153065
## cenSex 3.362e+00 7.231e-01 1.919e+03 4.649 3.56e-06 ***
## cenPovStat -8.588e-01 7.745e-01 1.929e+03 -1.109 0.267618
## cenEducnum -3.006e-01 1.566e-01 1.935e+03 -1.920 0.055021 .
## EF:cenAge -3.639e-03 3.948e-02 2.993e+03 -0.092 0.926572
## EF:cenRace 7.177e-01 3.978e-01 1.430e+03 1.804 0.071388 .
## cenAge:cenRace -1.379e-02 7.785e-02 3.093e+03 -0.177 0.859448
## EF:cenAge:cenRace 4.896e-03 3.424e-02 3.068e+03 0.143 0.886321
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) EF cenAge cenRac cenSex cnPvSt cnEdcn EF:cnA EF:cnR
## EF 0.090
## cenAge 0.308 0.155
## cenRace 0.522 0.006 0.372
## cenSex 0.558 -0.016 -0.012 -0.028
## cenPovStat 0.510 0.043 0.024 -0.135 0.060
## cenEducnum 0.086 -0.021 -0.039 -0.091 0.033 0.214
## EF:cenAge 0.100 0.473 0.052 0.087 -0.006 -0.001 -0.008
## EF:cenRace 0.006 0.892 0.087 -0.142 -0.008 0.016 0.135 0.427
## cenAge:cnRc 0.240 0.084 0.889 0.378 -0.011 -0.006 -0.025 -0.054 0.021
## EF:cnAg:cnR 0.064 0.423 -0.060 0.026 -0.001 0.004 0.012 0.901 0.470
## cnAg:R
## EF
## cenAge
## cenRace
## cenSex
## cenPovStat
## cenEducnum
## EF:cenAge
## EF:cenRace
## cenAge:cnRc
## EF:cnAg:cnR -0.2203-way interaction of EF x Sex x Age with Glucose - 3-way interaction was nonsignificant
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula:
## Glucose ~ (EF + cenAge + cenSex)^3 + cenRace + cenPovStat + cenEducnum +
## (cenAge | HNDid)
## Data: Tasneem_1a
## Control: lmerControl(check.nobs.vs.nRE = "ignore")
##
## REML criterion at convergence: 35437.5
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -6.4195 -0.3367 -0.0637 0.2373 12.0781
##
## Random effects:
## Groups Name Variance Std.Dev. Corr
## HNDid (Intercept) 194.9297 13.962
## cenAge 0.2788 0.528 1.00
## Residual 170.0796 13.041
## Number of obs: 4155, groups: HNDid, 1885
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 9.714e+01 1.375e+00 1.935e+03 70.637 < 2e-16 ***
## EF 4.494e-01 4.264e-01 1.454e+03 1.054 0.2921
## cenAge 3.295e-01 8.201e-02 3.166e+03 4.018 6.02e-05 ***
## cenSex 3.369e+00 8.110e-01 1.421e+03 4.155 3.45e-05 ***
## cenRace -8.038e-01 7.736e-01 1.926e+03 -1.039 0.2989
## cenPovStat -8.963e-01 7.759e-01 1.935e+03 -1.155 0.2482
## cenEducnum -3.509e-01 1.550e-01 1.936e+03 -2.264 0.0237 *
## EF:cenAge 2.787e-02 3.609e-02 3.094e+03 0.772 0.4399
## EF:cenSex 4.465e-01 3.752e-01 1.398e+03 1.190 0.2342
## cenAge:cenSex 4.186e-03 7.176e-02 3.105e+03 0.058 0.9535
## EF:cenAge:cenSex 3.414e-02 3.222e-02 3.031e+03 1.060 0.2893
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Correlation of Fixed Effects:
## (Intr) EF cenAge cenSex cenRac cnPvSt cnEdcn EF:cnA EF:cnS
## EF 0.012
## cenAge 0.299 0.052
## cenSex 0.624 -0.084 0.359
## cenRace 0.453 0.099 0.008 -0.024
## cenPovStat 0.512 0.037 0.047 0.055 -0.146
## cenEducnum 0.100 -0.146 -0.009 0.027 -0.054 0.215
## EF:cenAge 0.016 0.476 -0.135 0.040 0.009 -0.033 -0.041
## EF:cenSex -0.069 0.873 0.042 -0.088 -0.032 0.006 0.008 0.426
## cenAge:cnSx 0.243 0.041 0.900 0.398 -0.017 0.021 0.011 -0.126 0.051
## EF:cnAg:cnS 0.014 0.424 -0.124 0.047 0.009 -0.032 -0.030 0.895 0.473
## cnAg:S
## EF
## cenAge
## cenSex
## cenRace
## cenPovStat
## cenEducnum
## EF:cenAge
## EF:cenSex
## cenAge:cnSx
## EF:cnAg:cnS -0.1474-way interaction of EF x Race x Sex x Age with Glucose - 4-way interaction was nonsignificant
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula:
## Glucose ~ (EF + cenAge + cenRace + cenSex)^4 + cenPovStat + cenEducnum +
## (cenAge | HNDid)
## Data: Tasneem_1a
## Control: lmerControl(check.nobs.vs.nRE = "ignore")
##
## REML criterion at convergence: 35436.1
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -6.3715 -0.3364 -0.0629 0.2429 12.1226
##
## Random effects:
## Groups Name Variance Std.Dev. Corr
## HNDid (Intercept) 193.952 13.9267
## cenAge 0.278 0.5273 1.00
## Residual 170.174 13.0451
## Number of obs: 4155, groups: HNDid, 1885
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 9.234e+01 2.228e+00 1.524e+03 41.454 < 2e-16
## EF 1.399e+00 1.017e+00 1.412e+03 1.376 0.16902
## cenAge 1.330e-01 1.865e-01 3.175e+03 0.713 0.47583
## cenRace -6.102e+00 1.976e+00 1.451e+03 -3.088 0.00205
## cenSex -1.105e+00 1.874e+00 1.402e+03 -0.590 0.55550
## cenPovStat -8.580e-01 7.750e-01 1.926e+03 -1.107 0.26837
## cenEducnum -3.116e-01 1.567e-01 1.932e+03 -1.989 0.04686
## EF:cenAge 1.807e-02 8.642e-02 3.067e+03 0.209 0.83442
## EF:cenRace 1.234e+00 8.758e-01 1.416e+03 1.409 0.15911
## EF:cenSex 6.501e-01 9.271e-01 1.417e+03 0.701 0.48325
## cenAge:cenRace -1.946e-01 1.766e-01 3.082e+03 -1.102 0.27071
## cenAge:cenSex -1.742e-01 1.646e-01 3.129e+03 -1.058 0.28992
## cenRace:cenSex -4.699e+00 1.730e+00 1.435e+03 -2.716 0.00669
## EF:cenAge:cenRace 4.287e-03 7.591e-02 3.058e+03 0.056 0.95497
## EF:cenAge:cenSex 2.144e-02 7.901e-02 2.986e+03 0.271 0.78612
## EF:cenRace:cenSex 5.114e-01 7.891e-01 1.410e+03 0.648 0.51704
## cenAge:cenRace:cenSex -1.736e-01 1.564e-01 3.097e+03 -1.110 0.26718
## EF:cenAge:cenRace:cenSex -3.501e-05 6.861e-02 3.056e+03 -0.001 0.99959
##
## (Intercept) ***
## EF
## cenAge
## cenRace **
## cenSex
## cenPovStat
## cenEducnum *
## EF:cenAge
## EF:cenRace
## EF:cenSex
## cenAge:cenRace
## cenAge:cenSex
## cenRace:cenSex **
## EF:cenAge:cenRace
## EF:cenAge:cenSex
## EF:cenRace:cenSex
## cenAge:cenRace:cenSex
## EF:cenAge:cenRace:cenSex
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 14-way interaction of CES x EF x Race x Age with Glucose - 4-way interaction was nonsignificant
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula:
## Glucose ~ (CES + EF + cenAge + cenRace)^4 + cenSex + cenPovStat +
## cenEducnum + (cenAge | HNDid)
## Data: Tasneem_1a
## Control: lmerControl(check.nobs.vs.nRE = "ignore")
##
## REML criterion at convergence: 35427.7
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -6.4142 -0.3418 -0.0621 0.2410 12.0778
##
## Random effects:
## Groups Name Variance Std.Dev. Corr
## HNDid (Intercept) 194.2526 13.937
## cenAge 0.2756 0.525 1.00
## Residual 170.3170 13.051
## Number of obs: 4148, groups: HNDid, 1882
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 9.568e+01 1.859e+00 1.797e+03 51.473 < 2e-16
## CES 9.259e-02 8.703e-02 1.424e+03 1.064 0.2876
## EF 1.196e+00 7.483e-01 1.444e+03 1.598 0.1102
## cenAge 1.657e-01 1.357e-01 3.069e+03 1.221 0.2223
## cenRace -1.739e+00 1.452e+00 1.490e+03 -1.197 0.2314
## cenSex 3.397e+00 7.285e-01 1.915e+03 4.663 3.34e-06
## cenPovStat -9.397e-01 7.819e-01 1.921e+03 -1.202 0.2296
## cenEducnum -2.914e-01 1.584e-01 1.944e+03 -1.840 0.0659
## CES:EF -2.529e-02 4.054e-02 1.458e+03 -0.624 0.5328
## CES:cenAge 1.135e-02 7.777e-03 3.159e+03 1.460 0.1444
## CES:cenRace 4.221e-02 7.637e-02 1.448e+03 0.553 0.5806
## EF:cenAge 8.927e-03 6.357e-02 2.956e+03 0.140 0.8883
## EF:cenRace 8.416e-01 6.466e-01 1.446e+03 1.302 0.1933
## cenAge:cenRace -3.410e-02 1.337e-01 3.031e+03 -0.255 0.7987
## CES:EF:cenAge -2.705e-05 3.540e-03 3.153e+03 -0.008 0.9939
## CES:EF:cenRace -3.749e-03 3.532e-02 1.459e+03 -0.106 0.9155
## CES:cenAge:cenRace 2.840e-03 7.263e-03 3.137e+03 0.391 0.6958
## EF:cenAge:cenRace -1.584e-02 5.654e-02 3.026e+03 -0.280 0.7794
## CES:EF:cenAge:cenRace 1.933e-03 3.252e-03 3.184e+03 0.594 0.5523
##
## (Intercept) ***
## CES
## EF
## cenAge
## cenRace
## cenSex ***
## cenPovStat
## cenEducnum .
## CES:EF
## CES:cenAge
## CES:cenRace
## EF:cenAge
## EF:cenRace
## cenAge:cenRace
## CES:EF:cenAge
## CES:EF:cenRace
## CES:cenAge:cenRace
## EF:cenAge:cenRace
## CES:EF:cenAge:cenRace
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 14-way interaction of CES x EF x Sex x Age with Glucose - 4-way interaction was nonsignificant
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula:
## Glucose ~ (CES + EF + cenAge + cenSex)^4 + cenRace + cenPovStat +
## cenEducnum + (cenAge | HNDid)
## Data: Tasneem_1a
## Control: lmerControl(check.nobs.vs.nRE = "ignore")
##
## REML criterion at convergence: 35428.1
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -6.4192 -0.3383 -0.0632 0.2425 12.0656
##
## Random effects:
## Groups Name Variance Std.Dev. Corr
## HNDid (Intercept) 194.0934 13.9317
## cenAge 0.2732 0.5227 1.00
## Residual 170.3709 13.0526
## Number of obs: 4148, groups: HNDid, 1882
##
## Fixed effects:
## Estimate Std. Error df t value Pr(>|t|)
## (Intercept) 9.472e+01 1.881e+00 1.776e+03 50.366 <2e-16 ***
## CES 1.762e-01 9.328e-02 1.438e+03 1.889 0.0591 .
## EF 9.583e-01 6.837e-01 1.463e+03 1.402 0.1612
## cenAge 1.466e-01 1.431e-01 3.258e+03 1.025 0.3057
## cenSex 1.851e+00 1.355e+00 1.462e+03 1.366 0.1723
## cenRace -7.614e-01 7.780e-01 1.918e+03 -0.979 0.3279
## cenPovStat -9.717e-01 7.821e-01 1.925e+03 -1.242 0.2143
## cenEducnum -3.316e-01 1.569e-01 1.944e+03 -2.114 0.0347 *
## CES:EF -2.955e-02 4.113e-02 1.436e+03 -0.718 0.4726
## CES:cenAge 1.308e-02 8.647e-03 3.290e+03 1.513 0.1304
## CES:cenSex 1.122e-01 7.608e-02 1.420e+03 1.474 0.1406
## EF:cenAge 1.057e-01 5.989e-02 3.181e+03 1.765 0.0777 .
## EF:cenSex 6.536e-01 6.078e-01 1.422e+03 1.075 0.2824
## cenAge:cenSex -4.783e-02 1.219e-01 3.107e+03 -0.392 0.6948
## CES:EF:cenAge -5.602e-03 3.859e-03 3.226e+03 -1.452 0.1467
## CES:EF:cenSex -9.997e-03 3.453e-02 1.441e+03 -0.289 0.7722
## CES:cenAge:cenSex 4.434e-03 6.997e-03 3.205e+03 0.634 0.5263
## EF:cenAge:cenSex 7.253e-02 5.256e-02 3.022e+03 1.380 0.1677
## CES:EF:cenAge:cenSex -3.061e-03 3.152e-03 3.171e+03 -0.971 0.3315
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 15-way interaction of EF x Race x Sex x Age with Glucose - 5-way interaction was nonsignificant
## Linear mixed model fit by REML. t-tests use Satterthwaite's method [
## lmerModLmerTest]
## Formula:
## Glucose ~ (cenCES + cenEF + cenAge + cenRace + cenSex)^5 + cenPovStat +
## cenEducnum + (cenAge | HNDid)
## Data: Tasneem_1a
## Control: lmerControl(check.nobs.vs.nRE = "ignore")
##
## REML criterion at convergence: 35465.1
##
## Scaled residuals:
## Min 1Q Median 3Q Max
## -6.3489 -0.3407 -0.0647 0.2400 12.1072
##
## Random effects:
## Groups Name Variance Std.Dev. Corr
## HNDid (Intercept) 192.3613 13.8694
## cenAge 0.2675 0.5172 1.00
## Residual 170.7436 13.0669
## Number of obs: 4148, groups: HNDid, 1882
##
## Fixed effects:
## Estimate Std. Error df
## (Intercept) 9.222e+01 2.343e+00 1.504e+03
## cenCES -2.847e-01 2.271e-01 1.420e+03
## cenEF 1.099e+00 1.047e+00 1.414e+03
## cenAge 1.105e-01 1.966e-01 3.242e+03
## cenRace -6.274e+00 2.025e+00 1.449e+03
## cenSex -1.333e+00 1.979e+00 1.401e+03
## cenPovStat -8.764e-01 7.839e-01 1.913e+03
## cenEducnum -2.830e-01 1.591e-01 1.938e+03
## cenCES:cenEF -6.943e-02 1.005e-01 1.488e+03
## cenCES:cenAge -1.354e-02 2.047e-02 3.464e+03
## cenCES:cenRace -4.263e-01 1.945e-01 1.436e+03
## cenCES:cenSex -3.179e-01 1.881e-01 1.410e+03
## cenEF:cenAge 2.555e-02 8.987e-02 3.121e+03
## cenEF:cenRace 9.129e-01 9.063e-01 1.420e+03
## cenEF:cenSex 3.158e-01 9.551e-01 1.441e+03
## cenAge:cenRace -2.303e-01 1.796e-01 3.107e+03
## cenAge:cenSex -1.997e-01 1.725e-01 3.154e+03
## cenRace:cenSex -4.885e+00 1.774e+00 1.433e+03
## cenCES:cenEF:cenAge -3.597e-04 9.177e-03 3.448e+03
## cenCES:cenEF:cenRace -7.836e-03 8.578e-02 1.505e+03
## cenCES:cenEF:cenSex -4.262e-02 8.456e-02 1.495e+03
## cenCES:cenAge:cenRace -2.752e-02 1.852e-02 3.217e+03
## cenCES:cenAge:cenSex -2.162e-02 1.686e-02 3.300e+03
## cenCES:cenRace:cenSex -3.992e-01 1.612e-01 1.435e+03
## cenEF:cenAge:cenRace 1.965e-02 8.103e-02 3.076e+03
## cenEF:cenAge:cenSex 1.560e-02 8.147e-02 3.011e+03
## cenEF:cenRace:cenSex 1.586e-01 8.155e-01 1.425e+03
## cenAge:cenRace:cenSex -2.112e-01 1.582e-01 3.066e+03
## cenCES:cenEF:cenAge:cenRace 6.839e-03 8.408e-03 3.410e+03
## cenCES:cenEF:cenAge:cenSex -6.145e-04 7.548e-03 3.346e+03
## cenCES:cenEF:cenRace:cenSex -3.303e-03 7.297e-02 1.488e+03
## cenCES:cenAge:cenRace:cenSex -2.622e-02 1.520e-02 3.152e+03
## cenEF:cenAge:cenRace:cenSex 3.151e-03 7.191e-02 3.053e+03
## cenCES:cenEF:cenAge:cenRace:cenSex 4.173e-03 6.926e-03 3.310e+03
## t value Pr(>|t|)
## (Intercept) 39.357 < 2e-16 ***
## cenCES -1.254 0.21008
## cenEF 1.050 0.29404
## cenAge 0.562 0.57405
## cenRace -3.098 0.00198 **
## cenSex -0.673 0.50077
## cenPovStat -1.118 0.26371
## cenEducnum -1.778 0.07550 .
## cenCES:cenEF -0.691 0.48963
## cenCES:cenAge -0.662 0.50831
## cenCES:cenRace -2.191 0.02858 *
## cenCES:cenSex -1.691 0.09114 .
## cenEF:cenAge 0.284 0.77622
## cenEF:cenRace 1.007 0.31397
## cenEF:cenSex 0.331 0.74098
## cenAge:cenRace -1.283 0.19972
## cenAge:cenSex -1.158 0.24710
## cenRace:cenSex -2.754 0.00596 **
## cenCES:cenEF:cenAge -0.039 0.96874
## cenCES:cenEF:cenRace -0.091 0.92723
## cenCES:cenEF:cenSex -0.504 0.61436
## cenCES:cenAge:cenRace -1.486 0.13735
## cenCES:cenAge:cenSex -1.282 0.19986
## cenCES:cenRace:cenSex -2.476 0.01339 *
## cenEF:cenAge:cenRace 0.243 0.80838
## cenEF:cenAge:cenSex 0.191 0.84817
## cenEF:cenRace:cenSex 0.194 0.84587
## cenAge:cenRace:cenSex -1.335 0.18196
## cenCES:cenEF:cenAge:cenRace 0.813 0.41604
## cenCES:cenEF:cenAge:cenSex -0.081 0.93512
## cenCES:cenEF:cenRace:cenSex -0.045 0.96390
## cenCES:cenAge:cenRace:cenSex -1.725 0.08469 .
## cenEF:cenAge:cenRace:cenSex 0.044 0.96505
## cenCES:cenEF:cenAge:cenRace:cenSex 0.603 0.54686
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1