A Flexible Bayesian Parametric Proportional Hazard Model: Simulation and Applications to Right-Censored Healthcare Data

Table 2

Simulation results from a GLL PH framework with distributional parameters (, , and ), covariates .

Posterior properties
True Value	Posterior mean	Bias	Naïve SE	MSE	CP		No. of eff
C = 20%
	1.449	−0.001	0.001	0.017	0.991	1.000	4017
	0.712	−0.038	0.001	0.019	0.946	1.000	3700
	−0.723	0.027	0.000	0.003	0.956	1.000	3761
	0.483	−0.017	0.001	0.016	0.962	1.000	3782
	1.309	0.059	0.002	0.070	0.923	1.001	4609
	0.731	−0.019	0.001	0.012	0.941	1.001	4609
C = 30%
	1.527	0.027	0.001	0.021	0.945	1.000	4174
	0.726	−0.024	0.001	0.023	0.954	1.000	3660
	−0.752	0.002	0.000	0.004	0.975	1.001	3802
	0.445	−0.055	0.001	0.023	0.937	1.001	3802
	1.437	0.187	0.002	0.123	0.911	1.002	4434
	0.847	0.097	0.001	0.023	0.907	1.003	4792