Hypothesis testing in Bayesian network meta-analysis

• Verfasst von: Uhlmann, Lorenz [VerfasserIn]
• Verfasst von: Jensen, Katrin [VerfasserIn]
• Verfasst von: Kieser, Meinhard [VerfasserIn]
• Titel: Hypothesis testing in Bayesian network meta-analysis
• Verf.angabe: Lorenz Uhlmann, Katrin Jensen and Meinhard Kieser
• E-Jahr: 2018
• Jahr: 12 November 2018
• Umfang: 11 S.
• Fussnoten: Gesehen am 23.11.2018
• Titel Quelle: Enthalten in: BMC medical research methodology
• Ort Quelle: London : BioMed Central, 2001
• Jahr Quelle: 2018
• Band/Heft Quelle: 18(2018), Artikel-ID 128
• ISSN Quelle: 1471-2288
• DOI: doi:10.1186/s12874-018-0574-y
• Datenträger: Online-Ressource
• Sprache: eng
• K10plus-PPN: 1584071494
• K10plus-PPN:
  Universitätsbibliothek
• Lokale URL UB: Zum Volltext

Abstract

Network meta-analysis is an extension of the classical pairwise meta-analysis and allows to compare multiple interventions based on both head-to-head comparisons within trials and indirect comparisons across trials. Bayesian or frequentist models are applied to obtain effect estimates with credible or confidence intervals. Furthermore, p-values or similar measures may be helpful for the comparison of the included arms but related methods are not yet addressed in the literature. In this article, we discuss how hypothesis testing can be done in a Bayesian network meta-analysis.