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Network meta-analysis

Author

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  • Ian R. White

    (Cambridge Institute of Public Health)

Abstract

Network meta-analysis is a popular way to combine results from several studies (usually randomized trials) comparing several treatments or interventions. It has usually been performed in a Bayesian setting, but recently it has become possible in a frequentist setting using multivariate meta-analysis and meta-regression, implemented in Stata with mvmeta. I describe a suite of Stata programs for network meta-analysis that perform the necessary data manipulation, fit consistency and inconsistency models using mvmeta, and produce various graphics. Copyright 2015 by StataCorp LP.

Suggested Citation

  • Ian R. White, 2015. "Network meta-analysis," Stata Journal, StataCorp LP, vol. 15(4), pages 951-985, December.
    • Handle: RePEc:tsj:stataj:v:15:y:2015:i:4:p:951-985
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    Citations

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    Cited by:

    1. Iván Cavero-Redondo & Alicia Saz-Lara & Luis García-Ortiz & Cristina Lugones-Sánchez & Blanca Notario-Pacheco & Leticia Gómez-Sánchez & Vicente Martínez-Vizcaíno & Manuel Ángel Gómez-Marcos, 2021. "Comparative Effect of Antihypertensive Drugs in Improving Arterial Stiffness in Hypertensive Adults (RIGIPREV Study). A Protocol for Network Meta-Analysis," IJERPH, MDPI, vol. 18(24), pages 1-8, December.
    2. Chao Zhang & Jiancheng Guan, 2017. "How to identify metaknowledge trends and features in a certain research field? Evidences from innovation and entrepreneurial ecosystem," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(2), pages 1177-1197, November.
    3. Steven Kwasi Korang & Elena von Rohden & Areti Angeliki Veroniki & Giok Ong & Owen Ngalamika & Faiza Siddiqui & Sophie Juul & Emil Eik Nielsen & Joshua Buron Feinberg & Johanne Juul Petersen & Christi, 2022. "Vaccines to prevent COVID-19: A living systematic review with Trial Sequential Analysis and network meta-analysis of randomized clinical trials," PLOS ONE, Public Library of Science, vol. 17(1), pages 1-23, January.
    4. Michael Sobel & David Madigan & Wei Wang, 2017. "Causal Inference for Meta-Analysis and Multi-Level Data Structures, with Application to Randomized Studies of Vioxx," Psychometrika, Springer;The Psychometric Society, vol. 82(2), pages 459-474, June.
    5. Chunhu Shi & Jo C Dumville & Nicky Cullum, 2018. "Support surfaces for pressure ulcer prevention: A network meta-analysis," PLOS ONE, Public Library of Science, vol. 13(2), pages 1-29, February.
    6. Giammarco Alderotti & Daniele Vignoli & Michela Baccini & Anna Matysiak, 2019. "Employment Uncertainty and Fertility: A Network Meta-Analysis of European Research Findings," Econometrics Working Papers Archive 2019_06, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".

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