Riley, RD ORCID: https://orcid.org/0000-0001-8699-0735, Jackson, D, Salanti, G, Burke, DL, Price, M, Kirkham, J and White, IR (2017) Multivariate and network meta-analysis of multiple outcomes and multiple treatments: rationale, concepts, and examples. BMJ, 358. j3932.

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Abstract

Organisations such as the National Institute for Health and Care Excellence require the synthesis of evidence from existing studies to inform their decisions—for example, about the best available treatments with respect to multiple efficacy and safety outcomes. However, relevant studies may not provide direct evidence about all the treatments or outcomes of interest. Multivariate and network meta-analysis methods provide a framework to address this, using correlated or indirect evidence from such studies alongside any direct evidence. In this article, the authors describe the key concepts and assumptions of these methods, outline how correlated and indirect evidence arises, and illustrate the contribution of such evidence in real clinical examples involving multiple outcomes and multiple treatments

Item Type: Article
Additional Information: This is the final published version of the article (version of record). It first appeared online via BMJ at https://doi.org/10.1136/bmj.j3932 - please refer to any applicable terms of use of the publisher.
Subjects: R Medicine > R Medicine (General)
Divisions: Faculty of Medicine and Health Sciences > Primary Care Health Sciences
Related URLs:
Depositing User: Symplectic
Date Deposited: 19 Oct 2017 09:30
Last Modified: 19 Mar 2019 10:02
URI: http://eprints.keele.ac.uk/id/eprint/4118

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