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	Sharp bounds on causal effects in case-control and cohort studies
	Kuroki, Manabu ; Cai, Zhihong ; Geng, Zhi
	2010
关键词	Causal risk difference Causal risk ratio Fractional programming Linear programming Potential response DIRECTED ACYCLIC GRAPHS
英文摘要	Evaluating the causal effect of an exposure on a response from case-control and cohort studies is a major concern in epidemiological and medical research. Since causal effects are in general nonidentifiable from such studies, this paper derives bounds on two causal measures: the causal risk difference and the causal risk ratio. We use the potential response approach and a linear programming method to derive sharp bounds on the causal risk difference, and a novel fractional programming method to derive bounds on the causal risk ratio. In addition, in the presence of missing data, we consider three different missingness mechanisms and propose sharp bounds under these situations. The results provide new guidance on causal inference in case-control and cohort studies.; Biology; Mathematical & Computational Biology; Statistics & Probability; SCI(E); 1; ARTICLE; 1; 123-132; 97
语种	英语
出处	SCI
出版者	biometrika
内容类型	其他
源URL	[http://hdl.handle.net/20.500.11897/395899]
专题	数学科学学院
推荐引用方式 GB/T 7714	Kuroki, Manabu,Cai, Zhihong,Geng, Zhi. Sharp bounds on causal effects in case-control and cohort studies. 2010-01-01.

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