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Table 5 Measures of fit for the multivariate models applied on renal transplant dataset with (a) all covariates (b) time and time squared

From: Analysis of multivariate longitudinal kidney function outcomes using generalized linear mixed models

 

Model

AIC

BIC

−2logl

(a) All covariates

SHRI

4,000.21

4,010.98

3,992.21

SHRIS

3,999

4,015.14

3,987

SPRI

3,358.24

3,382.46

3,340.24

SPRISa

(–)

(–)

(–)

(b) Time and time squared

SHRI

4,040.59

4,051.39

4,032.59

SHRIS

4,036.7

4,052.91

4,024.7

SPRI

3,732

3,756.64

3,714.34

SPRISa

3,749.12

3,808.53

3,705.12

  1. aSPRIS model converged for only Time and Time Squared covariates.