Table 5.
Parameter | True | Joint | Separate | ||||
---|---|---|---|---|---|---|---|
Bias | SE | CP | Bias | SE | CP | ||
Longitudinal | |||||||
Fixed effects | |||||||
β0 | 66.33 | 0.004 | 0.765 | 0.975 | 0.459 | 0.768 | 0.925 |
β1 | 0.89 | −0.002 | 0.051 | 0.955 | 0.002 | 0.051 | 0.940 |
β2 | −1.85 | −0.028 | 0.597 | 0.925 | −0.030 | 0.592 | 0.940 |
β3 | −0.98 | −0.049 | 1.031 | 0.955 | 0.210 | 1.019 | 0.960 |
β4 | −0.12 | −0.002 | 0.099 | 0.935 | 0.082 | 0.096 | 0.815 |
β5 | 0.27 | −0.111 | 0.278 | 0.900 | −0.299 | 0.239 | 0.775 |
β6 | 0.14 | −0.002 | 0.073 | 0.950 | −0.003 | 0.072 | 0.935 |
β7 | 1.74 | 0.026 | 0.839 | 0.945 | 0.032 | 0.832 | 0.935 |
β8 | 0.26 | −0.006 | 0.130 | 0.940 | −0.036 | 0.127 | 0.945 |
β9 | −0.72 | 0.040 | 0.337 | 0.935 | 0.101 | 0.327 | 0.920 |
Random effects | |||||||
σ2 | 21.55 | 0.049 | 1.357 | 0.935 | 0.041 | 1.310 | 0.940 |
ΣU11 | 0.27 | −0.001 | 0.038 | 0.965 | −0.022 | 0.035 | 0.855 |
ΣU12 | −0.31 | 0.060 | 0.095 | 0.860 | 0.066 | 0.083 | 0.860 |
ΣU22 | 1.29 | −0.284 | 0.401 | 0.790 | 0.235 | 0.345 | 0.790 |
Competing risks | |||||||
Fixed effects | |||||||
γ11 | −0.06 | −0.004 | 0.030 | 0.950 | 0.005 | 0.025 | 0.940 |
γ12 | 0.22 | 0.077 | 0.320 | 0.925 | 0.017 | 0.270 | 0.930 |
γ13 | 0.23 | 0.011 | 0.518 | 0.920 | 0.038 | 0.448 | 0.935 |
γ14 | 0.10 | 0.005 | 0.042 | 0.950 | −0.010 | 0.031 | 0.965 |
γ15 | 0.13 | 0.063 | 0.434 | 0.920 | −0.064 | 0.345 | 0.955 |
γ21 | 0.02 | −0.009 | 0.041 | 0.945 | −0.008 | 0.029 | 0.945 |
γ22 | 0.29 | 0.055 | 0.473 | 0.925 | −0.061 | 0.356 | 0.925 |
γ23 | −1.33 | −0.052 | 1.107 | 0.925 | −0.098 | 1.049 | 0.915 |
γ24 | −0.07 | 0.003 | 0.075 | 0.960 | 0.010 | 0.059 | 0.995 |
γ25 | −0.58 | −0.010 | 0.891 | 0.940 | 0.095 | 0.805 | 0.965 |
Random effects | |||||||
ν2 | 3.04 | −0.456 | 1.043 | 0.925 | −0.414 | 3.212 | 1.000 |
0.38 | 0.076 | 0.728 | 0.995 | −0.333 | 0.058 | 0.285 | |
Joint covariances | |||||||
ΣU1υ | −0.25 | −0.100 | 0.128 | 0.970 | – | – | – |
ΣU2υ | 0.60 | −0.022 | 0.418 | 0.945 | – | – | – |
The bold numbers represent relatively large biases