Univariate Analysis 1: ARM as a covariate
## Variable.Name Beta se.Beta P.value
## 1 AGE 0.0307 0.0269 0.2570
## 2 SEX 1.2598 0.7684 0.1045
## 3 RACE_ASIAN 2.0939 0.8137 0.0117
## 4 RACE_OTHER -0.2029 1.7380 0.9073
## 5 BMI 0.1402 0.0747 0.0635
## 6 DIABP -0.0098 0.0336 0.7724
## 7 SYSBP 0.0232 0.0201 0.2513
## 8 CAPD -2.0034 1.7720 0.2611
## 9 vantage 0.1291 0.2084 0.5370
## 10 Diabetes 0.7515 0.8132 0.3578
## 11 SGA 1.2957 0.8918 0.1496
## 12 DrainWT 0.0301 0.0248 0.2278
## 13 Baseline.HBA1C 0.1413 0.3675 0.7016
## 14 Baseline.HGB -0.0095 0.0283 0.7396
## 15 Baseline.UREA 0.2096 0.0645 0.0016
## 16 Baseline.CHOL -0.1596 0.2404 0.5085
## 17 Baseline.LDL -0.2335 0.2910 0.4244
## 18 Baseline.HDL -0.1953 0.9537 0.8382
## 19 Baseline.ApoA1 0.0025 0.0142 0.8589
## 20 Baseline.ApoB -0.0193 0.0135 0.1562
## 21 Baseline.Lipoprotein -0.0102 0.0169 0.5500
## 22 Baseline.Proinsulin 0.0071 0.0031 0.0238
## 23 Baseline.C.Peptide 0.0000 0.0001 0.7248
## 24 Baseline.Insulin 0.0006 0.0003 0.0722
## 25 Baseline.Pre.Albumin -0.0036 0.0480 0.9404
## 26 Baseline.VLDL -0.0264 0.2832 0.9260
## 27 Baseline.Protein 0.0063 0.0130 0.6318
## 28 Baseline.EQ5D 0.0175 0.0210 0.4072
Univariate Analysis 2: ARM as a factor
## Variable.Name Beta se.Beta P.value
## 1 ARM 1.3132 0.7749 0.0934
## 2 AGE 0.0289 0.0272 0.2907
## 3 SEX 1.2244 0.7765 0.1182
## 4 RACE_ASIAN 2.0698 0.8234 0.0136
## 5 RACE_OTHER -0.0095 1.7556 0.9957
## 6 BMI 0.1187 0.0750 0.1169
## 7 DIABP -0.0052 0.0338 0.8789
## 8 SYSBP 0.0241 0.0203 0.2372
## 9 CAPD -2.3478 1.7706 0.1880
## 10 vantage 0.1501 0.2098 0.4762
## 11 Diabetes 0.7120 0.8212 0.3881
## 12 SGA 1.2405 0.9010 0.1718
## 13 DrainWT 0.0224 0.0247 0.3671
## 14 Baseline.HBA1C 0.1115 0.3704 0.7641
## 15 Baseline.HGB -0.0123 0.0288 0.6718
## 16 Baseline.UREA 0.2021 0.0654 0.0026
## 17 Baseline.CHOL -0.1975 0.2413 0.4152
## 18 Baseline.LDL -0.2264 0.2938 0.4429
## 19 Baseline.HDL -0.2964 0.9607 0.7583
## 20 Baseline.ApoA1 0.0013 0.0143 0.9274
## 21 Baseline.ApoB -0.0197 0.0136 0.1504
## 22 Baseline.Lipoprotein -0.0058 0.0170 0.7314
## 23 Baseline.Proinsulin 0.0065 0.0031 0.0399
## 24 Baseline.C.Peptide 0.0000 0.0001 0.7195
## 25 Baseline.Insulin 0.0006 0.0004 0.0710
## 26 Baseline.Pre.Albumin -0.0096 0.0484 0.8429
## 27 Baseline.VLDL -0.0835 0.2837 0.7692
## 28 Baseline.Protein 0.0038 0.0131 0.7713
## 29 Baseline.EQ5D 0.0180 0.0212 0.3978
Stepwise Regression using AIC with both direction
##
## Call:
## lm(formula = Final.C.Alb ~ Baseline.C.Alb + ARM + AGE + RACE +
## BMI + CAPD + DrainWT + Baseline.UREA + Baseline.CHOL + Baseline.ApoB +
## Baseline.C.Peptide + Baseline.Insulin + Baseline.Protein,
## data = dat)
##
## Residuals:
## Min 1Q Median 3Q Max
## -6.1641 -2.4775 -0.1544 2.0318 9.4324
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) -3.260e+00 3.650e+00 -0.893 0.37436
## Baseline.C.Alb 2.901e-01 9.183e-02 3.159 0.00222 **
## ARMExtraneal 1.871e+00 7.598e-01 2.463 0.01590 *
## AGE 2.967e-02 3.145e-02 0.943 0.34835
## RACEASIAN 1.586e+00 9.172e-01 1.729 0.08769 .
## RACEOTHER -2.897e-01 1.999e+00 -0.145 0.88512
## BMI 1.298e-01 1.324e-01 0.980 0.33002
## CAPDAPD -2.174e+00 1.708e+00 -1.273 0.20669
## DrainWT 1.286e-02 4.231e-02 0.304 0.76190
## Baseline.UREA 2.234e-01 7.373e-02 3.030 0.00328 **
## Baseline.CHOL 4.998e-01 3.608e-01 1.385 0.16983
## Baseline.ApoB -3.783e-02 1.989e-02 -1.902 0.06072 .
## Baseline.C.Peptide -2.497e-04 1.102e-04 -2.266 0.02612 *
## Baseline.Insulin 3.869e-05 4.161e-04 0.093 0.92615
## Baseline.Protein 1.947e-02 1.366e-02 1.425 0.15793
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 3.465 on 81 degrees of freedom
## (84 observations deleted due to missingness)
## Multiple R-squared: 0.4211, Adjusted R-squared: 0.321
## F-statistic: 4.208 on 14 and 81 DF, p-value: 1.683e-05