Bayesian Methods for Meta-Analyses of Binary Outcomes: Implementations, Examples, and Impact of Priors

Bayesian methods are an important set of tools for performing meta-analyses. They avoid some potentially unrealistic assumptions that are required by conventional frequentist methods. More importantly, meta-analysts can incorporate prior information from many sources, including experts’ opinions and...

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Detalles Bibliográficos
Autores principales: Al Amer, Fahad M., Thompson, Christopher G., Lin, Lifeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8036799/
https://www.ncbi.nlm.nih.gov/pubmed/33801771
http://dx.doi.org/10.3390/ijerph18073492

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8036799/
https://www.ncbi.nlm.nih.gov/pubmed/33801771
http://dx.doi.org/10.3390/ijerph18073492

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