S. Balduzzi, G. Rücker, A. Nikolakopoulou, T. Papakonstantinou, G. Salanti, O. Efthimiou, G. Schwarzer
{"title":"netmeta: An R Package for Network Meta-Analysis Using Frequentist Methods","authors":"S. Balduzzi, G. Rücker, A. Nikolakopoulou, T. Papakonstantinou, G. Salanti, O. Efthimiou, G. Schwarzer","doi":"10.18637/jss.v106.i02","DOIUrl":null,"url":null,"abstract":"Network meta-analysis compares different interventions for the same condition, by combining direct and indirect evidence derived from all eligible studies. Network meta-analysis 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","PeriodicalId":17237,"journal":{"name":"Journal of Statistical Software","volume":null,"pages":null},"PeriodicalIF":5.4000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"23","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Statistical Software","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.18637/jss.v106.i02","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 23
Abstract
Network meta-analysis compares different interventions for the same condition, by combining direct and indirect evidence derived from all eligible studies. Network meta-analysis 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
期刊介绍:
The Journal of Statistical Software (JSS) publishes open-source software and corresponding reproducible articles discussing all aspects of the design, implementation, documentation, application, evaluation, comparison, maintainance and distribution of software dedicated to improvement of state-of-the-art in statistical computing in all areas of empirical research. Open-source code and articles are jointly reviewed and published in this journal and should be accessible to a broad community of practitioners, teachers, and researchers in the field of statistics.