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Table 4 Estimates of the treatment effect from applying Models A to D both classically and under a Bayesian approach

From: Individual patient data meta-analysis of survival data using Poisson regression models

Framework

Model

Treatment effect

Trial effect

Cox

Poisson (1)

Poisson (0.5)

Poisson (0.25)

    

Hazard ratio

95% CI

Hazard ratio

95% CI

Hazard ratio

95% CI

Hazard ratio

95% CI

Classical

A

Fixed

Proportional

0.877

0.793

0.970

0.877

0.793

0.970

0.877

0.793

0.970

0.877

0.793

0.970

 

B

Fixed

Stratified

0.880

0.795

0.973

0.879

0.795

0.973

0.880

0.796

0.973

0.880

0.796

0.973

 

C

Random

Proportional

-

-

-

0.877

0.793

0.970

0.877

0.793

0.970

0.877

0.793

0.970

 

D

Random

Stratified

-

-

-

0.879

0.795

0.973

0.880

0.796

0.973

0.880

0.796

0.973

Bayesian

A

Fixed

Proportional

-

-

-

0.877

0.796

0.971

0.878

0.792

0.969

0.876

0.792

0.970

 

B

Fixed

Stratified

-

-

-

0.880

0.796

0.971

0.879

0.793

0.975

0.879

0.794

0.971

 

C

Random

Proportional

-

-

-

0.874

0.756

0.994

0.871

0.747

0.994

0.873

0.748

0.998

 

D

Random

Stratified

-

-

-

0.876

0.755

0.996

0.876

0.755

1.002

0.873

0.760

1.000