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| 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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Page views:: 3258. Submitted: 2015-05-20. Published: 2017-08-29. |
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| Paper: |
Performing Arm-Based Network Meta-Analysis in R with the pcnetmeta Package
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| DOI: |
10.18637/jss.v080.i05
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This work is licensed under the licenses Paper: Creative Commons Attribution 3.0 Unported License Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license. |