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CONDITIONS FOR UNIFORMLY NON-CONFOUNDING OF CAUSAL DISTRIBUTION EFFECTS OVER MULTIPLE COVARIATES
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作者 Xueli WANG School of Science,Beijing University of Posts and Telecommunications,Beijing 100876,China. 《Journal of Systems Science & Complexity》 SCIE EI CSCD 2010年第4期796-803,共8页
Causation is a distinct concept from association and more important than association inepidemiologic studies.This paper proposes the concept of uniform non-confounding for causal distributioneffects over multiple cova... Causation is a distinct concept from association and more important than association inepidemiologic studies.This paper proposes the concept of uniform non-confounding for causal distributioneffects over multiple covariates,and gives the sufficient conditions for uniform non-confoundingover a covariate set C including confounders or non-confounders,and also shows the conditions forconditionally non-confounding in the subpopulations.All these conditions can be tested by observeddata. 展开更多
关键词 Causal distribution effect CONFOUNDING COVARIATES uniform non-confounding
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