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Table 9 Variance–covariance matrix of SPRIS when applied on renal transplant dataset with covariates time and time squared

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

SPRISa Intercept Intercerpt Intercept Slope Slope Slope
BUN (SE) Cr (SE) eGFR (SE) BUN (SE) Cr (SE) eGFR (SE)
Intercept 0.2606      
BUN (SE) (0.02609)      
Intercerpt 0.2932 0.1229     
Cr (SE) (0.04267) (0.05179)     
Intercept −0.3064 −0.1173 <0.000001    
eGFR (SE) (0.04685) (0.05906) (–)    
Slope −0.00231 0.00442 −0.00964 0.006384   
BUN (SE) (0.002248) (0.004197) (0.1256) 0.1897   
Slope −0.0047 0.003245 −0.00905 0.005992 <0.000001  
Cr (SE) (0.002801) (0.004418) (0.118) (0.1781) (0.002482)  
Slope 0.005316 −0.00378 0.009299 −0.00616 <0.000001 <0.000001
eGFR (SE) (0.003132) (0.005003) (0.1212) (0.183) (0.002792) (–)
  1. aSPRIS converged for only time and time squared covariates.