Performing Arm-Based Network Meta-Analysis in R with the pcnetmeta Package

Lifeng Lin, Jing Zhang, James S. Hodges and Haitao Chu

Journal of Statistical Software, 2017, vol. 080, issue i05

Abstract: Network meta-analysis is a powerful approach for synthesizing direct and indirect evidence about multiple treatment comparisons from a collection of independent studies. At present, the most widely used method in network meta-analysis is contrast-based, in which a baseline treatment needs to be specified in each study, and the analysis focuses on modeling relative treatment effects (typically log odds ratios). However, populationaveraged treatment-specific parameters, such as absolute risks, cannot be estimated by this method without an external data source or a separate model for a reference treatment. Recently, an arm-based network meta-analysis method has been proposed, and the R package pcnetmeta provides user-friendly functions for its implementation. This package estimates both absolute and relative effects, and can handle binary, continuous, and count outcomes.

Date: 2017-08-29
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Persistent link: https://EconPapers.repec.org/RePEc:jss:jstsof:v:080:i05

DOI: 10.18637/jss.v080.i05

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