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

Table 3

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%
	1.718	−0.032	0.002	0.038	0.942	1.000	3865
	0.523	0.023	0.002	0.051	0.955	1.000	3823
	−0.817	−0.033	0.001	0.010	0.946	1.000	3720
	0.489	−0.011	0.002	0.050	0.981	1.000	3740
	1.441	−0.059	0.002	0.068	0.931	1.000	4084
	0.828	−0.122	0.001	0.147	0.925	1.001	4084
C = 30%
	1.717	−0.033	0.002	0.044	0.939	1.000	3802
	0.577	0.077	0.002	0.063	0.943	1.000	3823
	−0.833	−0.017	0.001	0.009	0.971	1.000	3761
	0.474	−0.026	0.002	0.058	0.952	1.000	3700
	1.625	0.125	0.002	0.143	0.919	1.002	3865
	0.778	−0.172	0.001	0.213	0.908	1.001	4084