Published by the Foundation for Open Access Statistics
Editors-in-chief: Bettina Grün, Torsten Hothorn, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
Performing Arm-Based Network Meta-Analysis in R with the pcnetmeta Package | Lin | Journal of Statistical Software
Authors: Lifeng Lin, Jing Zhang, James S. Hodges, Haitao Chu
Title: Performing Arm-Based Network Meta-Analysis in R with the pcnetmeta Package
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.

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Paper: Performing Arm-Based Network Meta-Analysis in R with the pcnetmeta Package     Download PDF (Downloads: 983)
Supplements:
pcnetmeta_2.5.tar.gz: R source package Download (Downloads: 70; 28KB)
v80i05.R: R replication code Download (Downloads: 99; 2KB)

DOI: 10.18637/jss.v080.i05

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Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.