Journal
RESEARCH SYNTHESIS METHODS
Volume 3, Issue 2, Pages 111-125Publisher
WILEY
DOI: 10.1002/jrsm.1045
Keywords
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Funding
- Medical Research Council [U105260558, U105285807, G0902100, G0600650]
- National Science Foundation [DMS-0635449]
- MRC [MC_U105260558, MC_U105285807, G0600650, MC_EX_G0902100] Funding Source: UKRI
- British Heart Foundation [RG/08/014/24067] Funding Source: researchfish
- Medical Research Council [G0600650, MC_U105260558, UD99999927, MC_EX_G0902100, MC_U105285807] Funding Source: researchfish
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Network meta-analysis (multiple treatments meta-analysis, mixed treatment comparisons) attempts to make the best use of a set of studies comparing more than two treatments. However, it is important to assess whether a body of evidence is consistent or inconsistent. Previous work on models for network meta-analysis that allow for heterogeneity between studies has either been restricted to two-arm trials or followed a Bayesian framework. We propose two new frequentist ways to estimate consistency and inconsistency models by expressing them as multivariate random-effects meta-regressions, which can be implemented in some standard software packages. We illustrate the approach using the mvmeta package in Stata. Copyright (C) 2012 John Wiley & Sons, Ltd.
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