Table 6 Application of the two univariate models on the renal transplant dataset with all covariates
From: Analysis of multivariate longitudinal kidney function outcomes using generalized linear mixed models
Model | Outcome | Intercept (SE) | Slope time (SE) | Slope male (SE) | Slope AA (SE) | Slope age (SE) | Slope donor male (SE) |
|---|---|---|---|---|---|---|---|
P-value | P-value | P-value | P-value | P-value | P-value | ||
RI | BUN | 3.08470 (0.10610) | −0.01942 (0.00195) | 0.17290 (0.05408) | 0.09597 (0.05416) | 0.00475 (0.00195) | −0.08116 (0.05679) |
<0.0001 | <0.0001 | 0.0015 | 0.0768 | 0.0148 | 0.1534 | ||
Creatinine | 0.85850 (0.11920) | −0.04527 (0.00341) | 0.24620 (0.06037) | 0.23670 (0.06047) | −0.00199 (0.00217) | −0.15380 (0.06338) | |
<0.0001 | <0.0001 | <0.0001 | <0.0001 | 0.3582 | 0.0155 | ||
eGFR | 3.40210 (0.13990) | 0.05221 (0.00394) | 0.01729 (0.07089) | −0.08284 (0.07101) | −0.00289 (0.00255) | 0.18690 (0.07443) | |
<0.0001 | <0.0001 | 0.8074 | 0.2438 | 0.2568 | 0.0123 | ||
RIS | BUN | 3.09910 (0.10370) | −0.01936 (0.00213) | 0.16680 (0.05290) | 0.07354 (0.05297) | 0.00468 (0.00191) | −0.07877 (0.05556) |
<0.0001 | <0.0001 | 0.0017 | 0.1655 | 0.0141 | 0.1567 | ||
Creatinine | 0.83970 (0.11780) | −0.04528 (0.00342) | 0.24670 (0.06001) | 0.23940 (0.06007) | −0.00163 (0.00216) | −0.15450 (0.06298) | |
<0.0001 | <0.0001 | <0.0001 | <0.0001 | 0.4501 | 0.0144 | ||
eGFR | 3.42390 (0.13840) | 0.05222 (0.00395) | 0.01660 (0.07050) | −0.08582 (0.07058) | −0.00332 (0.00253) | 0.18760 (0.07401) | |
<0.0001 | <0.0001 | 0.8139 | 0.2244 | 0.1906 | 0.0115 |