TY - JOUR AU - Lin, Lifeng AU - Zhang, Jing AU - Hodges, James S. AU - Chu, Haitao PY - 2017/08/29 Y2 - 2024/03/28 TI - Performing Arm-Based Network Meta-Analysis in R with the pcnetmeta Package JF - Journal of Statistical Software JA - J. Stat. Soft. VL - 80 IS - 5 SE - Articles DO - 10.18637/jss.v080.i05 UR - https://www.jstatsoft.org/index.php/jss/article/view/v080i05 SP - 1 - 25 AB - 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. ER -