Accounting for uncertainty during a pandemic

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...

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Detalles Bibliográficos
Autores principales: Zelner, Jon, Riou, Julien, Etzioni, Ruth, Gelman, Andrew
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Perspective
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8361691/
https://www.ncbi.nlm.nih.gov/pubmed/34405155
http://dx.doi.org/10.1016/j.patter.2021.100310
Descripción
Sumario: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.

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