应对大流行期间的不确定性。
Accounting for uncertainty during a pandemic.
作者信息
Zelner Jon, Riou Julien, Etzioni Ruth, Gelman Andrew
机构信息
Department of Epidemiology, Center of Social Epidemiology & Population Health, University of Michigan School of Public Health, Ann Arbor, MI, USA.
Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland.
出版信息
Patterns (N Y). 2021 Aug 13;2(8):100310. doi: 10.1016/j.patter.2021.100310.
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.
摘要
我们讨论了近期及正在进行的冠状病毒研究中出现的统计设计、数据收集、分析、交流和决策等几个问题，重点关注不确定性评估和传播的工具。本文并非旨在对研究文献进行全面综述；相反，我们用实例来说明我们认为重要的统计学要点。
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