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A primer on Bayesian estimation of prevalence of COVID-19 patient outcomes
A common research task in COVID-19 studies often involves the prevalence estimation of certain medical outcomes. Although point estimates with confidence intervals are typically obtained, a better approach is to estimate the entire posterior probability distribution of the prevalence, which can be e...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Oxford University Press
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7750711/ https://www.ncbi.nlm.nih.gov/pubmed/33619468 http://dx.doi.org/10.1093/jamiaopen/ooaa062 |