netmeta: An R Package for Network Meta-Analysis Using Frequentist Methods

S. Balduzzi,G. Rücker,A. Nikolakopoulou,T. Papakonstantinou,G. Salanti,O. Efthimiou,G. Schwarzer

Published 2023 in Journal of Statistical Software

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 .

PUBLICATION RECORD

  • Publication year

    2023

  • Venue

    Journal of Statistical Software

  • Publication date

    Unknown publication date

  • Fields of study

    Mathematics, Computer Science

  • Identifiers
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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