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Table 1 Posterior Estimate generated through different models through Cox PH model

From: Disease progression of cancer patients during COVID-19 pandemic: a comprehensive analytical strategy by time-dependent modelling

Bayesian Estimate MLE
Response Parameter Posterior Mean (SD) 95% HPD DIC PD
LRC Arm −0.31 (0.14) (−0.61, − 0.03) 2187.7 0.99 − 0.31 (− 0.60, − 0.02)
Age −0.20 (0.17) (− 0.53, 0.13)
Gender 0.41 (0.23) (−0.06, 0.86)
PFS Arm −0.31 (0.13) (−0.58, − 0.05) 2614.46 0.99 − 0.31 (− 0.57, − 0.04)
Age −0.38 (0.15) (− 0.64, − 0.09)
Gender 0.49 (0.22) (0.05, 0.91)
OS Arm −0.16 (0.13) (−0.42, 0.08) 2610.64 0.99 −0.16 (− 0.42, 0.08)
Age −0.38 (0.15) (− 0.68, − 0.09)
Gender 0.28 (0.20) (−0.13, 0.66)