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Table 3 Parameter estimates for linear mixed effect model

From: Time-dependent ROC curve analysis in medical research: current methods and applications

   Case Control
Fixed Effect \( {\widehat{\beta}}_0(SE) \) 1.139(8.865 × 10-2) -0.569 (0.043)
\( {\widehat{\beta}}_1(SE) \) -4.813 × 10-4(4.419 × 10-5) 2.906 × 10-4 (2.502 × 10-5)
\( {\widehat{\beta}}_2(SE) \) 2.283 × 10-4(5.696 × 10-5)  
\( {\widehat{\beta}}_3(SE) \) -1.083 × 10-7(1.605 × 10-8)  
Random Effect \( {\widehat{\sigma}}_{int} \) 0.593 0.550
\( {\widehat{\sigma}}_{VT} \) 3.448 × 10-4 2.615 × 10-4
\( {\widehat{\rho}}_{int, VT} \) -0.378 0.209
\( {\widehat{\sigma}}_{Res} \) 0.293 0.220