performing arm-based network meta-analysis in r with the pcnetmeta package
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2017
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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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lin2017journalperforming
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| Authors | ;Lifeng Lin;Jing Zhang;James S. Hodges;Haitao Chu |
| Journal | open geospatial data, software and standards |
| Year | 2017 |
| DOI |
10.18637/jss.v080.i05
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