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

Table 1

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%
	1.506	0.006	0.001	0.032	0.032	1.000	3782
	0.837	0.087	0.002	0.057	0.935	1.001	3740
	−0.695	0.055	0.001	0.011	0.945	1.000	3720
	0.480	0.020	0.002	0.049	0.920	1.002	3700
	1.431	0.181	0.002	0.107	0.890	1.000	4039
	0.720	0.030	0.001	0.013	0.935	1.001	4039
C = 30%
	1.463	−0.037	0.001	0.029	0.935	1.000	3802
	0.872	0.122	0.002	0.072	0.880	1.000	3823
	−0.727	0.023	0.001	0.008	0.945	1.001	3761
	0.501	0.001	0.002	0.060	0.997	1.000	3700
	1.575	0.325	0.002	0.193	0.851	1.002	3865
	0.567	−0.183	0.001	0.045	0.911	1.000	4084