Table 2.
The estimates of the mean, standard error (SE), standard deviation (SD), and coverage probabilities (CP) of 95% credible intervals under various simulation scenarios.
| regression model | time to recurrence | time to death | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
| ||||||||||||||
| True | β0 | β1 | β2 | β3 | p1 | q1 | p2 | q2 | γ11 | γ12 | α1 | γ21 | γ22 | α2 |
| pars | 0.310 | 0.006 | −1.800 | 0.700 | 0.800 | 0.850 | 0.900 | 0.700 | −0.020 | 0.200 | 1.000 | −0.004 | 0.700 | 3.000 |
| (a) Simulate and estimate using piecewise constant function assuming conditional independence | ||||||||||||||
| Mean | 0.337 | 0.008 | −1.849 | 0.674 | 0.794 | 0.850 | 0.898 | 0.700 | −0.021 | 0.205 | 0.992 | −0.004 | 0.692 | 2.948 |
| SD | 0.136 | 0.011 | 0.281 | 0.309 | 0.035 | 0.030 | 0.023 | 0.036 | 0.005 | 0.107 | 0.134 | 0.005 | 0.120 | 0.243 |
| SE | 0.149 | 0.010 | 0.294 | 0.426 | 0.032 | 0.029 | 0.025 | 0.035 | 0.005 | 0.122 | 0.134 | 0.005 | 0.141 | 0.245 |
| CP | 0.990 | 0.910 | 0.960 | 0.990 | 0.950 | 0.970 | 0.960 | 0.950 | 0.950 | 0.990 | 0.950 | 0.950 | 0.990 | 0.950 |
| (b) Simulate from Weibull and estimate using piecewise constant function assuming conditional independence | ||||||||||||||
| Mean | 0.336 | 0.006 | −1.808 | 0.693 | 0.797 | 0.856 | 0.896 | 0.702 | −0.021 | 0.175 | 0.936 | −0.004 | 0.680 | 2.746 |
| SD | 0.153 | 0.011 | 0.320 | 0.372 | 0.033 | 0.029 | 0.021 | 0.033 | 0.004 | 0.110 | 0.130 | 0.004 | 0.104 | 0.206 |
| SE | 0.147 | 0.010 | 0.293 | 0.426 | 0.032 | 0.028 | 0.025 | 0.035 | 0.005 | 0.116 | 0.125 | 0.005 | 0.129 | 0.222 |
| CP | 0.960 | 0.940 | 0.930 | 0.960 | 0.950 | 0.970 | 0.990 | 0.940 | 0.970 | 0.940 | 0.900 | 0.990 | 0.990 | 0.770 |
| True | β0 | β1 | β2 | β3 | p1 | q1 | p2 | q2 | γ11 | γ12 | α1 | γ21 | γ22 | α2 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| pars | 0.310 | 0.006 | −1.800 | 0.700 | 0.800 | 0.850 | 0.830 | 0.638 | −0.020 | 0.200 | 1.000 | −0.004 | 0.700 | 3.000 |
| (c) Simulate and estimate using piecewise constant function assuming conditional dependence | ||||||||||||||
| Mean | 0.316 | 0.006 | −1.813 | 0.668 | 0.803 | 0.857 | 0.836 | 0.642 | −0.022 | 0.177 | 0.965 | −0.005 | 0.699 | 2.984 |
| SD | 0.172 | 0.011 | 0.337 | 0.398 | 0.034 | 0.031 | 0.033 | 0.035 | 0.005 | 0.106 | 0.151 | 0.006 | 0.112 | 0.332 |
| SE | 0.165 | 0.011 | 0.308 | 0.449 | 0.034 | 0.033 | 0.031 | 0.037 | 0.005 | 0.124 | 0.141 | 0.006 | 0.148 | 0.278 |
| CP | 0.950 | 0.950 | 0.950 | 0.990 | 0.960 | 0.950 | 0.930 | 0.960 | 0.930 | 0.990 | 0.930 | 0.970 | 0.970 | 0.910 |
| (d) Simulate from Weibull and estimate using piecewise constant function assuming conditional dependence | ||||||||||||||
| Mean | 0.348 | 0.008 | −1.838 | 0.721 | 0.791 | 0.858 | 0.825 | 0.639 | −0.019 | 0.173 | 0.946 | −0.003 | 0.668 | 2.665 |
| SD | 0.139 | 0.012 | 0.297 | 0.398 | 0.032 | 0.033 | 0.030 | 0.038 | 0.004 | 0.106 | 0.133 | 0.004 | 0.097 | 0.239 |
| SE | 0.164 | 0.011 | 0.307 | 0.454 | 0.034 | 0.032 | 0.032 | 0.037 | 0.005 | 0.117 | 0.134 | 0.005 | 0.135 | 0.252 |
| CP | 0.990 | 0.920 | 0.970 | 0.970 | 0.960 | 0.960 | 0.960 | 0.920 | 0.960 | 0.950 | 0.910 | 0.970 | 0.990 | 0.740 |