ESMARConf2021 Session 2B (Quantitative Synthesis (NMA)): Guido Schwarzer
Channel: ESMARConf2021
Date: 21/01/2021

Presenter: Guido Schwarzer
Session: Quantitative Synthesis (NMA) (https://youtu.be/d4ufa__hGbY)
Title: Network meta-analysis with netmeta - Present and Future
Abstract: "Network meta-analysis is a more recent development that provides methods to combine direct and indirect evidence and thus constitutes an extension of pairwise meta-analysis for combining the results from studies that used different comparison groups (Salanti, 2012). R package netmeta (Rücker et al., 2020) implements a frequentist approach for network meta-analysis based on graph-theoretical methods (Rücker, 2012) and is one of the most popular R packages for network meta-analysis. Main objective of netmeta is to provide a comprehensive set of R functions for network meta-analysis in a user-friendly implementation.
In this presentation, we will give a brief overview of implemented methods in netmeta as well as planned future extensions. References: Salanti G (2012): Indirect and mixed-treatment comparison, network, or multiple-treatments meta-analysis: many names, many benefits, many concerns for the next generation evidence synthesis tool. Research Synthesis Methods. 3(2):80-97. Rücker G (2012): Network meta-analysis, electrical networks and graph theory. Research Synthesis Methods. 3(4):312-24. Gerta Rücker et al. (2020): netmeta: Network Meta-Analysis using Frequentist Methods. R package version 1.2-1. https://CRAN.R-project.org/package=netmeta"

Please cite as: Schwarzer, Guido (2021): Network meta-analysis with netmeta - Present and Future. Presentation at ESMARConf. figshare. Conference contribution. https://doi.org/10.6084/m9.figshare.13637918.v1