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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