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Table 1 Between-trial variance estimates and model fit statistics from the considered models and priors in the first illustrative example on hepatitis C treatments for achieving sustained virological response (SVR)

From: Modelling heterogeneity variances in multiple treatment comparison meta-analysis – Are informative priors the better solution?

 

Between-trial variance estimates

Model fit statistics

Models

PEG-2A+RBV vs INF+RBV

PEG-2B+RBV vs INF+RBV

PEG-2B+RBV vs PEG-2A+RBV

pD

DIC

Random-effects pair wise meta-analysis

Frequentist (DerSimonian-Laird)

0.642

0.000

0.036

--

--

Frequentist (Hartung-Makimbi)

0.580

0.017

0.021

--

--

Bayesian (weakly informative)

0.700

0.018

0.077

--

--

Bayesian (frequentist informed)

0.422

0.001

0.038

--

--

Bayesian (empirically informed)

0.091

0.024

0.052

--

--

Random-effects MTC models

     

Weakly informed variance models

     

Homogeneous variance model

0.097

0.097

0.097

33.3

283.2

  Unrestricted variances

1.046

0.017

0.103

32.8

277.7

  Exchangeable variances

0.510

0.016

0.083

32.6

278.6

  Consistency variances structure

0.225

0.024

0.164

32.9

280.2

Moderately informed variance models

     

  Frequentist informed priors

0.677

0.011

0.047

30.9

275.6

  Empirically informed priors

0.368

0.026

0.076

32.4

278.4

  1. Abbreviations: PEG-2A (Peginterferon-2a); PEG-2B (Peginterferon-2b); INF (Interferon), RBV (Ribavirin).