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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.