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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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| Pubblicato in: | Int J Environ Res Public Health |
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| Autori principali: | , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
MDPI
2021
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8036799/ https://ncbi.nlm.nih.gov/pubmed/33801771 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/ijerph18073492 |
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