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 |