How to Conduct a Bayesian Network Meta-Analysis

Network meta-analysis is a general approach to integrate the results of multiple studies in which multiple treatments are compared, often in a pairwise manner. In this tutorial, we illustrate the procedures for conducting a network meta-analysis for binary outcomes data in the Bayesian framework usi...

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Published inFrontiers in veterinary science Vol. 7; p. 271
Main Authors Hu, Dapeng, O'Connor, Annette M., Wang, Chong, Sargeant, Jan M., Winder, Charlotte B.
Format Journal Article
LanguageEnglish
Published Switzerland Frontiers Media S.A 19.05.2020
Subjects
Bayesian
network meta-analysis
systematic review
tutorial
Veterinary Science
tutorial
network meta-analysis
systematic review
veterinary science
Bayesian
Online AccessGet full text
ISSN2297-1769
2297-1769
DOI10.3389/fvets.2020.00271

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Summary:Network meta-analysis is a general approach to integrate the results of multiple studies in which multiple treatments are compared, often in a pairwise manner. In this tutorial, we illustrate the procedures for conducting a network meta-analysis for binary outcomes data in the Bayesian framework using example data. Our goal is to describe the workflow of such an analysis and to explain how to generate informative results such as ranking plots and treatment risk posterior distribution plots. The R code used to conduct a network meta-analysis in the Bayesian setting is provided at GitHub.
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This article was submitted to Veterinary Epidemiology and Economics, a section of the journal Frontiers in Veterinary Science
Edited by: Andres M. Perez, University of Minnesota Twin Cities, United States
Reviewed by: Fraser Lewis, University of Zurich, Switzerland; Gilles Kratzer, University of Zurich, in collaboration with reviewer FL; Adam Branscum, Oregon State University, United States
ISSN:2297-1769
2297-1769
DOI:10.3389/fvets.2020.00271