Stevens, J.W. orcid.org/0000-0002-9867-7209, Fletcher, C., Downey, G. et al. (1 more author) (2018) A review of methods for comparing treatments evaluated in studies which form disconnected networks of evidence. Research Synthesis Methods, 9 (2). pp. 148-162. ISSN 1759-2879
Abstract
A network meta-analysis allows a simultaneous comparison between treatments evaluated in randomised controlled trials that share at least one treatment with at least one other study. Estimates of treatment effects may be required for treatments across disconnected networks of evidence, which requires a different statistical approach and modelling assumptions to account for imbalances in prognostic variables and treatment effect modifiers between studies. In this paper, we review and discuss methods for comparing treatments evaluated in studies that form disconnected networks of evidence. Several methods have been proposed but assessing which are appropriate often depends on the clinical context as well as the availability of data. Most methods account for sampling variation but do not always account for others sources of uncertainty. We suggest that further research is required to assess the properties of methods and the use of approaches that allow the incorporation of external information to reflect parameter and structural uncertainty.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2017 John Wiley & Sons, Ltd. This is an author produced version of a paper subsequently published in Research Synthesis Methods. Uploaded in accordance with the publisher's self-archiving policy. |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Health and Related Research (Sheffield) > ScHARR - Sheffield Centre for Health and Related Research |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 26 Oct 2017 10:42 |
Last Modified: | 22 Dec 2023 12:17 |
Status: | Published |
Publisher: | Wiley |
Refereed: | Yes |
Identification Number: | 10.1002/jrsm.1278 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:123052 |