Research Article
A Flexible Bayesian Parametric Proportional Hazard Model: Simulation and Applications to Right-Censored Healthcare Data
Table 5
Numerical summaries of posterior characteristics based on McMC sample of the GLL PH model for the lung cancer data set.
| Characteristics | Pars | Alpha | (diagt) | (age) | (prior) | (trt) | Eta | Kappa |
| Mean | 1.317 | 0.002 | −0.024 | −0.015 | −0.151 | 0.042 | 0.103 | SD | 0.173 | 0.010 | 0.008 | 0.021 | 0.178 | 0.015 | 0.049 | Naïve SE | 0.001 | 0.0001 | 0.0001 | 0.0002 | 0.001 | 0.0001 | 0.0004 | Time series SE | 0.003 | 0.0001 | 0.0001 | 0.0001 | 0.002 | 0.0002 | 0.001 | Minimum | 0.813 | −0.046 | −0.054 | −0.109 | −0.890 | 0.007 | 0.019 | 2.5th percentile | 1.023 | −0.020 | −0.040 | −0.057 | −0.500 | 0.019 | 0.040 | Q1 | 1.194 | −0.005 | −0.029 | −0.029 | −0.271 | 0.031 | 0.068 | Medium (Q2) | 1.302 | 0.003 | −0.024 | −0.015 | −0.150 | 0.040 | 0.092 | Q3 | 1.422 | 0.010 | −0.018 | −0.0003 | −0.029 | 0.051 | 0.125 | 97.5th percentile | 1.697 | 0.021 | −0.007 | 0.027 | 0.193 | 0.078 | 0.231 | Maximum | 2.324 | 0.032 | 0.006 | 0.082 | 0.511 | 0.143 | 0.658 | Mode | 1.250 | 0.003 | −0.028 | −0.015 | −0.150 | 0.035 | 0.075 | Variance | 0.030 | 0.0001 | 0.0001 | 0.001 | 0.032 | 0.0002 | 0.002 | Skewness | 0.550 | −0.361 | 0.082 | −0.058 | −0.027 | 0.957 | 1.656 | Kurtosis | 0.558 | 0.152 | 0.011 | 0.001 | −0.009 | 1.510 | 4.992 | 95% credible interval | (1.023, 1.697) | −0.020, 0.021) | (−0.040, −0.007) | (−0.057, 0.027) | (−0.500, 0.193) | (0.019, 0.078) | (0.040, 0.231) | P (.>0|data) | 1.000 | 0.598 | 0.003 | 0.244 | 0.199 | 1.000 | 1.000 |
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