Balduzzi, Sara; Rücker, Gerta; Nikolakopoulou, Adriani; Papakonstantinou, Theodoros; Salanti, Georgia; Efthimiou, Orestis; Schwarzer, Guido (2023). netmeta : An R Package for Network Meta-Analysis Using Frequentist Methods. Journal of statistical software, 106(2), pp. 1-40. UCLA Statistics 10.18637/jss.v106.i02
|
Text
Balduzzi_JStatSoftw_2023.pdf - Published Version Available under License Creative Commons: Attribution (CC-BY). Download (722kB) | Preview |
Network meta-analysis compares different interventions for the same condition, by
combining direct and indirect evidence derived from all eligible studies. Network metaanalysis has been increasingly used by applied scientists and it is a major research topic for methodologists. This article describes the R package netmeta, which adopts frequentist methods to fit network meta-analysis models. We provide a roadmap to perform network meta-analysis, along with an overview of the main functions of the package. We present three worked examples considering different types of outcomes and different data formats to facilitate researchers aiming to conduct network meta-analysis with netmeta.
Item Type: |
Journal Article (Original Article) |
|---|---|
Division/Institute: |
04 Faculty of Medicine > Pre-clinic Human Medicine > Institute of Social and Preventive Medicine (ISPM) |
UniBE Contributor: |
Salanti, Georgia, Efthimiou, Orestis |
Subjects: |
600 Technology > 610 Medicine & health 300 Social sciences, sociology & anthropology > 360 Social problems & social services |
ISSN: |
1548-7660 |
Publisher: |
UCLA Statistics |
Funders: |
[4] Swiss National Science Foundation |
Language: |
English |
Submitter: |
Doris Kopp Heim |
Date Deposited: |
22 Dec 2023 10:24 |
Last Modified: |
22 Dec 2023 20:48 |
Publisher DOI: |
10.18637/jss.v106.i02 |
BORIS DOI: |
10.48350/190683 |
URI: |
https://boris.unibe.ch/id/eprint/190683 |
Actions (login required)
 |
Edit item |