Your browser doesn't support javascript.
loading
Accounting for uncertainty during a pandemic.
Zelner, Jon; Riou, Julien; Etzioni, Ruth; Gelman, Andrew.
Afiliação
  • Zelner J; Department of Epidemiology, Center of Social Epidemiology & Population Health, University of Michigan School of Public Health, Ann Arbor, MI, USA.
  • Riou J; Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.
  • Etzioni R; Fred Hutchinson Cancer Research Center, University of Washington, Seattle, WA, USA.
  • Gelman A; Department of Statistics and Department of Political Science, Columbia University, New York, NY, USA.
Patterns (N Y) ; 2(8): 100310, 2021 Aug 13.
Article em En | MEDLINE | ID: mdl-34405155
ABSTRACT
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.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Patterns (N Y) Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Patterns (N Y) Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos