Research Article
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 |
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