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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)