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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.