Research Article
A Flexible Bayesian Parametric Proportional Hazard Model: Simulation and Applications to Right-Censored Healthcare Data
Table 11
Posterior properties summaries and the information criterion values for the considered GLL PH model and its competing models for the lung cancer data.
| Summaries | Posterior characteristics | Parametric competitive models | Parameter(s) | Posterior mean | Posterior SD | Pr (>|0|data) | HPD interval (95%) |
| GLL-PH model (DIC = 1505.165) | | Alpha | 1.317 | 0.173 | 1.000 | (1.001, 1.661) | (diagt) | 0.002 | 0.010 | 0.598 | (−0.019, 0.021) | (age) | −0.024 | 0.008 | 0.003 | (−0.039, −0.007) | (prior) | −0.015 | 0.021 | 0.244 | (−0.057, 0.026) | (trt) | −0.151 | 0.178 | 0.199 | (−0.505, 0.186) | Eta | 0.042 | 0.015 | 1.000 | (0.016, 0.073) | Kappa | 0.103 | 0.049 | 1.000 | (0.029, 0.200) |
| Weibull-PH model (DIC = 1521.310) | | Alpha | 0.744 | 0.048 | 1.000 | (0.654, 0.842) | (diagt) | 0.005 | 0.010 | 0.648 | (−0.018, 0.024) | (age) | −0.025 | 0.007 | 0.001 | (−0.039, −0.010) | (prior) | −1.027 | 0.021 | 0.102 | (−0.068, 0.015) | (trt) | −0.252 | 0.180 | 0.080 | (−0.593, 0.108) | Kappa | 0.206 | 0.090 | 1.000 | (0.060, 0.388) |
| Gompertz-PH model (DIC = 1556.407) | | Alpha | 1.134 | 0.311 | 1.000 | (0.567, 1.746) | (diagt) | 0.021 | 0.009 | 0.984 | (0.003, 0.039) | (age) | 0.027 | 0.006 | 1.000 | (0.014, 0.039) | (prior) | −0.056 | 0.023 | 0.006 | (−0.099, −0.012) | (trt) | −0.136 | 0.182 | 0.228 | (−0.494, −0.211) | Kappa | 0.001 | 0.0002 | 1.000 | (0.001, 0.002) |
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