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Sufficient component cause simulations: an underutilized epidemiologic teaching tool.

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第一作者： Katrina,Kezios

第一单位： Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, United States.

作者： Katrina,Kezios ^[1] ; Eleanor,Hayes-Larson ^[2]

作者单位： Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, United States. ^[1] Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, CA, United States. ^[2]

关键词 bias causal inference confounding effect measure modification selection bias simulation sufficient component cause teaching

DOI 10.3389/fepid.2023.1282809

PMID 38435670

发布时间 2024-03-09

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Sufficient component cause simulations: an underutilized epidemiologic teaching tool.

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Sufficient component cause simulations: an underutilized epidemiologic teaching tool.

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Frontiers in epidemiology

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