AUTHOR=Hu Dapeng , O'Connor Annette M. , Wang Chong , Sargeant Jan M. , Winder Charlotte B. 

TITLE=How to Conduct a Bayesian Network Meta-Analysis

JOURNAL=Frontiers in Veterinary Science

VOLUME=7

YEAR=2020

URL=https://www.frontiersin.org/journals/veterinary-science/articles/10.3389/fvets.2020.00271

DOI=10.3389/fvets.2020.00271

ISSN=2297-1769

ABSTRACT=<p>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.</p>