Contrast-Based and Arm-Based Models for Network Meta-Analysis

Amalia Karahalios, Joanne E. McKenzie, Ian R. White

Research output: Chapter in Book/Report/Conference proceedingChapter (Book)Researchpeer-review

Abstract

Network meta-analysis is used to synthesize evidence from a network of treatments. The models used in a network meta-analysis are more complex than those used for pairwise meta-analysis. Two types of models are available to undertake a network meta-analysis: contrast-based and arm-based models. Contrast-based models have been used in most published network meta-analyses. Arm-based models offer greater flexibility and handle treatments symmetrically, but risk compromising randomization. In this chapter, we (1) present the contrast-based and arm-based statistical models; (2) describe the theoretical differences between the models (noting when the estimates from the models are expected to diverge); (3) summarize the evidence comparing the two models from simulation studies and empirical investigations; and (4) provide a worked example applying the two models to a network using the R software package.

Original languageEnglish
Title of host publicationMethods in Molecular Biology
EditorsEvangelos Evangelou, Areti Angeliki Veroniki
Place of PublicationNew York USA
PublisherHumana Press
Chapter13
Pages203-221
Number of pages19
ISBN (Electronic)9781071615669
ISBN (Print)9781071615652
DOIs
Publication statusPublished - 2022

Publication series

NameMethods in Molecular Biology
PublisherHumana Press
Volume2345
ISSN (Print)1064-3745
ISSN (Electronic)1940-6029

Keywords

  • Arm-based
  • Bayesian
  • Contrast-based
  • Mixed treatment comparisons
  • Models
  • Multiple treatments meta-analysis
  • Network meta-analysis
  • Systematic review

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