Longitudinal model | Y ij = Ui1 + Ui2 * t ij + τ * Age + ε ij | ||||
Survival model | h(t) = λ(t)exp{α1Age + α2Sex + γY ij } | ||||
Covariance matrix for random effects (Ui1 , Ui2) | \( G = \left[\begin{array}{cc}\hfill 0.29\hfill & \hfill -0.00465\hfill \\ {}\hfill -0.00465\hfill & \hfill 0.000320\hfill \end{array}\right] \) | ||||
# of exams | Random effects (Ui1 , Ui2) | Residual error (σ2) | Age (α1) | Sex (α2) | Link (γ) |
6 | (4.250, 0.250) | 0.116 | 0.050 | −0.500 | (0.000, 0.500, 1.000) |