Modelling heterogeneity variances in multiple treatment comparison meta-analysis – Are informative priors the better solution?

BACKGROUND: Multiple treatment comparison (MTC) meta-analyses are commonly modeled in a Bayesian framework, and weakly informative priors are typically preferred to mirror familiar data driven frequentist approaches. Random-effects MTCs have commonly modeled heterogeneity under the assumption that t...

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Detalles Bibliográficos
Autores principales: Thorlund, Kristian, Thabane, Lehana, Mills, Edward J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3554418/
https://www.ncbi.nlm.nih.gov/pubmed/23311298
http://dx.doi.org/10.1186/1471-2288-13-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3554418/
https://www.ncbi.nlm.nih.gov/pubmed/23311298
http://dx.doi.org/10.1186/1471-2288-13-2

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