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Regardless of the type, meta-analyses can be conducted using study-level summary data, which are usually reported in the literature.
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A third type of meta-analysis is multivariate meta-analysis, which is far less common than the other two types ( 1, 2). A pairwise meta-analysis compares two treatments across multiple studies, whereas a network meta-analysis involves the simultaneous synthesis of multiple studies to create pairwise comparisons of more than two treatments. There are several common types of meta-analysis. Meta-analysis is a quantitative method commonly used to combine the results of multiple studies in the medical and veterinary sciences. The R code used to conduct a network meta-analysis in the Bayesian setting is provided at GitHub.
#CITING COMPREHENSIVE META ANALYSIS 3.3 HOW TO#
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. In this tutorial, we illustrate the procedures for conducting a network meta-analysis for binary outcomes data in the Bayesian framework using example data. 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.
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1Department of Statistics, Iowa State University, Ames, IA, United States.