Zelner, Jon; Riou, Julien; Etzioni, Ruth; Gelman, Andrew (2021). Accounting for uncertainty during a pandemic. Patterns, 2(8), p. 100310. Cell Press 10.1016/j.patter.2021.100310
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We discuss several issues of statistical design, data collection, analysis, communication, and decision-making that have arisen in recent and ongoing coronavirus studies, focusing on tools for assessment and propagation of uncertainty. This paper does not purport to be a comprehensive survey of the research literature; rather, we use examples to illustrate statistical points that we think are important.
Item Type: |
Journal Article (Review Article) |
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Division/Institute: |
04 Faculty of Medicine > Pre-clinic Human Medicine > Institute of Social and Preventive Medicine (ISPM) |
UniBE Contributor: |
Riou, Julien Yannis |
Subjects: |
600 Technology > 610 Medicine & health 300 Social sciences, sociology & anthropology > 360 Social problems & social services |
ISSN: |
2666-3899 |
Publisher: |
Cell Press |
Language: |
English |
Submitter: |
Doris Kopp Heim |
Date Deposited: |
30 Aug 2021 16:24 |
Last Modified: |
21 Jun 2023 14:56 |
Publisher DOI: |
10.1016/j.patter.2021.100310 |
PubMed ID: |
34405155 |
BORIS DOI: |
10.48350/159090 |
URI: |
https://boris.unibe.ch/id/eprint/159090 |
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