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A matrix-based method of moments for fitting multivariate network meta-analysis models with multiple outcomes and random inconsistency effects

Jackson, D; Bujkiewicz, S; Law, M; Riley, RD; White, IR; (2017) A matrix-based method of moments for fitting multivariate network meta-analysis models with multiple outcomes and random inconsistency effects. Biometrics 10.1111/biom.12762. (In press). Green open access

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Abstract

Random-effects meta-analyses are very commonly used in medical statistics. Recent methodological developments include multivariate (multiple outcomes) and network (multiple treatments) meta-analysis. Here, we provide a new model and corresponding estimation procedure for multivariate network meta-analysis, so that multiple outcomes and treatments can be included in a single analysis. Our new multivariate model is a direct extension of a univariate model for network meta-analysis that has recently been proposed. We allow two types of unknown variance parameters in our model, which represent between-study heterogeneity and inconsistency. Inconsistency arises when different forms of direct and indirect evidence are not in agreement, even having taken between-study heterogeneity into account. However, the consistency assumption is often assumed in practice and so we also explain how to fit a reduced model which makes this assumption. Our estimation method extends several other commonly used methods for meta-analysis, including the method proposed by DerSimonian and Laird (). We investigate the use of our proposed methods in the context of both a simulation study and a real example.

Type: Article
Title: A matrix-based method of moments for fitting multivariate network meta-analysis models with multiple outcomes and random inconsistency effects
Location: United States
Open access status: An open access version is available from UCL Discovery
DOI: 10.1111/biom.12762
Publisher version: http://dx.doi.org/10.1111/biom.12762
Language: English
Additional information: Copyright © 2017, The Authors Biometrics published by Wiley Periodicals, Inc. on behalf of International Biometric Society. This is an open access article under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Keywords: Incoherence, Mixed treatment comparisons, Multiple treatments meta-analysis, Random-effects models
UCL classification: UCL > School of Life and Medical Sciences
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URI: http://discovery.ucl.ac.uk/id/eprint/1573467
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