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Two new methods to fit models for network meta-analysis with random inconsistency effects
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 effect estim...
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| Publicado en: | BMC Med Res Methodol |
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| Autores principales: | , , , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
BioMed Central
2016
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4964019/ https://ncbi.nlm.nih.gov/pubmed/27465416 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12874-016-0184-5 |
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