Visualizing assumptions and results in network meta-analysis: The network graphs package
Anna Chaimani
Department of Hygiene and Epidemiology
University of Ioannina School of Medicine
Ioannina, Greece
[email protected]
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Georgia Salanti
Department of Hygiene and Epidemiology
University of Ioannina School of Medicine
Ioannina, Greece
[email protected]
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Abstract. Network meta-analysis has been established in recent years as a particularly
useful evidence synthesis tool. However, it is still challenging to develop
understandable and concise ways to present data, assumptions, and results from
network meta-analysis to inform decision making and evaluate the credibility of
the results. In this article, we provide a suite of commands with graphical
tools to facilitate the understanding of data, the evaluation of assumptions,
and the interpretation of findings from network meta-analysis.
View all articles by these authors:
Anna Chaimani, Georgia Salanti
View all articles with these keywords:
clusterank, ifplot, intervalplot, mdsrank, netfunnel, netleague, netweight, networkplot, sucra, network graphs, network meta-analysis, mixed-treatment comparison, multiple treatments, ranking, inconsistency, graphical tools
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