Two new methods to fit models for network meta-analysis with random inconsistency effects

Abstract Background Meta-analysis is a valuable tool for combining evidence from multiple studies. Network meta-analysis is becoming more widely used as a means to compare multiple treatments in the same analysis. However, a network meta-analysis may exhibit inconsistency, whereby the treatment effe...

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Bibliografische gegevens
Hoofdauteurs: Martin Law, Dan Jackson, Rebecca Turner, Kirsty Rhodes, Wolfgang Viechtbauer
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: BMC 2016-07-01
Reeks:BMC Medical Research Methodology
Onderwerpen:
Network meta-analysis
Importance sampling
Random inconsistency effects
Informative priors
Online toegang:http://link.springer.com/article/10.1186/s12874-016-0184-5
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