@article{JSSv080i05, title={Performing Arm-Based Network Meta-Analysis in R with the pcnetmeta Package}, volume={80}, url={https://www.jstatsoft.org/index.php/jss/article/view/v080i05}, doi={10.18637/jss.v080.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.}, number={5}, journal={Journal of Statistical Software}, author={Lin, Lifeng and Zhang, Jing and Hodges, James S. and Chu, Haitao}, year={2017}, pages={1–25} }