Bayesian adjustment for preferential testing in estimating infection fatality rates, as motivated by the COVID-19 pandemic-Reference-Cited by-同舟云学术

Bayesian adjustment for preferential testing in estimating infection fatality rates, as motivated by the COVID-19 pandemic

Published:2022-03-01 Issue:1 Volume:16 Page:
ISSN:1932-6157
Container-title:The Annals of Applied Statistics
language:
Short-container-title:Ann. Appl. Stat.

Author:

Campbell Harlan¹,de Valpine Perry²,Maxwell Lauren³,de Jong Valentijn M. T.⁴,Debray Thomas P. A.⁴,Jaenisch Thomas³,Gustafson Paul¹

Affiliation:

1. Department of Statistics, University of British Columbia

2. Department of Environmental Science, Policy, and Management, University of California

3. Heidelberg Institute for Global Health, Heidelberg University Hospital

4. Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University

Publisher

Institute of Mathematical Statistics

Subject

Statistics, Probability and Uncertainty,Modeling and Simulation,Statistics and Probability

Reference56 articles.

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4. BENDAVID, E., MULANEY, B., SOOD, N., SHAH, S., LING, E., BROMLEY-DULFANO, R., LAI, C., WEISSBERG, Z., SAAVEDRA, R. et al. (2020). COVID-19 antibody seroprevalence in Santa Clara County, California. medRxiv.

5. BERGER, J. O. (2013). Statistical Decision Theory and Bayesian Analysis. Springer, Berlin.

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