Table 10 Variance–covariance matrix of RI and RIS when applied on renal transplant dataset with all covariates
From: Analysis of multivariate longitudinal kidney function outcomes using generalized linear mixed models
Model | Outcome | Variance intercept (SE) | Covariance intercept, slope (SE) | Variance slope (SE) | Variance residuals (SE) |
|---|---|---|---|---|---|
RI | BUN | 0.05553 (0.01111) | 0.1352 (0.007904) | ||
Creatinine | 0.03038 (0.01423) | 0.4205 (0.02455) | |||
eGFR | 0.04494 (0.01956) | 0.5599 (0.03268) | |||
RIS | BUN | 0.0543 (0.01257) | −0.00049 (0.000564) | 0.00012 (0.000038) | 0.1166 (0.007530) |
Creatinine | 0.01192 (0.02067) | 0.000865 (0.000829) | <0.000001 (–) | 0.4211 (0.02463) | |
eGFR | 0.02113 (0.02826) | 0.001116 (0.001122) | <0.000001 (–) | 0.5605 (0.03278) |