Use R! Network meta-analysis with R

Session: 

Workshop session 7: Friday, 11:00-12:30

Workshop category: 

  • Methods for conducting syntheses (including different evidence, searching and information retrieval, statistics, assessing methodological quality)
Status

ID: 

WS63
Date and Location

Date: 

Friday 15 September 2017 - 11:00 to 12:30

Location: 

Contact persons and facilitators

Contact person:

Facilitators: 

Guido Schwarzer
Harriet Sommer

Acknowledgements:

Rücker G1
1 Institute for Medical Biometry and Statistics, Faculty of Medicine and Medical Center – University of Freiburg, Germany, Germany
Target audience

Target audience: 

This workshop is intended for anyone with basic experience in performing meta-analyses in R, for example, participants of our workshop “Use R! An Introduction to Meta-Analysis with R“.

Level of difficulty: 

Advanced
Type of workshop

Type of workshop : 

Training
Abstract

Abstract:

Objectives: Network meta-analysis (NMA), also known as mixed or indirect treatment comparisons, is a statistical method used to compare multiple treatments and their alternatives simultaneously, combining direct and indirect evidence in a single analysis. The rapid development of the open-source software R and its active community of developers makes it an ideal environment for keeping up with the latest methodological developments in NMA, far beyond the possibilities of Review Manager. At the end of the workshop, participants should be able to conceive the basic concept of NMA and to conduct a NMA using R.

Description: This workshop combines theory and exercises using R. A presentation introducing and illustrating concepts of NMA will be followed by a hands-on application where participants will work through a real-world NMA example using publicly available R packages.

This workshop will be based on the book 'Meta-Analysis with R' (Schwarzer et al., 2015). Participants should have their own laptop with a current installation of R (https://cran.r-project.org/), RStudio (https://www.rstudio.com/products/rstudio/download/), and already installed R packages meta and netmeta.