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Bayesian Estimation of the Seroprevalence of Antibodies to SARS-CoV-2 (preprint)
medrxiv; 2020.
Preprint
in English
| medRxiv | ID: ppzbmed-10.1101.2020.08.23.20180497
ABSTRACT
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.
Full text:
Available
Collection:
Preprints
Database:
medRxiv
Language:
English
Year:
2020
Document Type:
Preprint
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