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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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| Auteurs principaux: | , , , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
BMC
2016-07-01
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| Collection: | BMC Medical Research Methodology |
| Sujets: | |
| Accès en ligne: | http://link.springer.com/article/10.1186/s12874-016-0184-5 |
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