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

Table 4

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%
	1.756	0.006	0.001	0.023	0.978	1.000	3951
	0.503	0.003	0.001	0.040	0.991	1.000	3761
	−0.827	−0.023	0.000	0.003	0.963	1.000	3761
	0.505	0.005	0.000	0.045	0.987	1.000	3740
	1.519	0.019	0.002	0.107	0.942	1.000	4458
	0.973	0.023	0.001	0.013	0.941	1.001	4458
C = 30%
	1.811	0.061	0.001	0.091	0.935	1.000	4011
	0.612	0.112	0.001	0.129	0.880	1.000	3978
	−0.815	−0.035	0.000	0.004	0.945	1.000	4011
	0.521	0.021	0.001	0.063	0.997	1.000	3789
	1.531	0.031	0.002	0.171	0.851	1.001	4458
	0.990	0.040	0.002	0.145	0.911	1.002	4565