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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