Research Article
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 |
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