Applying causal diagrams with measurement error: an outline and further considerations.
作者信息
Rudolph Jacqueline E, Ross Rachael K
机构信息
Department of Epidemiology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States.
Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, United States.
出版信息
Int J Epidemiol. 2025 Apr 12;54(3). doi: 10.1093/ije/dyaf070.
Abstract
摘要
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本文引用的文献
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All your data are always missing: incorporating bias due to measurement error into the potential outcomes framework.你所有的数据总是缺失：将测量误差导致的偏差纳入潜在结果框架。
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