Bayesian bivariate meta-analysis of correlated effects: Impact of the prior distributions on the between-study correlation, borrowing of strength, and joint inferences

Multivariate random-effects meta-analysis allows the joint synthesis of correlated results from multiple studies, for example, for multiple outcomes or multiple treatment groups. In a Bayesian univariate meta-analysis of one endpoint, the importance of specifying a sensible prior distribution for th...

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Detalles Bibliográficos
Autores principales: Burke, Danielle L, Bujkiewicz, Sylwia, Riley, Richard D
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2016
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5810917/
https://www.ncbi.nlm.nih.gov/pubmed/26988929
http://dx.doi.org/10.1177/0962280216631361

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5810917/
https://www.ncbi.nlm.nih.gov/pubmed/26988929
http://dx.doi.org/10.1177/0962280216631361

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