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http://conacyt.repositorioinstitucional.mx/jspui/handle/1000/6867| Bayesian Estimation of the Seroprevalence of Antibodies to SARS-CoV-2 | |
| Qunfeng Dong Xiang Gao | |
| Acceso Abierto | |
| Atribución-NoComercial | |
| https://doi.org/10.1101/2020.08.23.20180497 | |
| Accurately estimating the seroprevalence of antibodies to SARS-CoV-2 requires the use of appropriate methods. Bayesian statistics provides a natural framework for considering the variabilities of specificity and sensitivity of the antibody tests, as well as for incorporating prior knowledge of viral infection prevalence. We present a full Bayesian approach for this purpose, and we demonstrate the utility of our approach using a recently published large-scale dataset from the U.S. CDC. | |
| medrxiv | |
| 2020-08 | |
| Preimpreso | |
| https://www.medrxiv.org | |
| Inglés | |
| Epidemia COVID-19 | |
| Público en general | |
| VIRUS RESPIRATORIOS | |
| Versión publicada | |
| publishedVersion - Versión publicada | |
| Aparece en las colecciones: | Artículos científicos |
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| Fichero | Tamaño | Formato | |
|---|---|---|---|
| Bayesian Estimation of the Seroprevalence.pdf | 850.08 kB | Adobe PDF | Visualizar/Abrir |