CONDITIONS FOR UNIFORMLY NON-CONFOUNDING OF CAUSAL DISTRIBUTION EFFECTS OVER MULTIPLE COVARIATES  

作　　者：Xueli WANG School of Science,Beijing University of Posts and Telecommunications,Beijing 100876,China. 

出　　处：《Journal of Systems Science & Complexity》2010年第4期796-803,共8页系统科学与复杂性学报（英文版）

基　　金：supported by the Natural Science Foundation China under Grant Nos. 10801019 and 10726037

摘　　要：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.

关 键 词：Causal distribution effect CONFOUNDING COVARIATES uniform non-confounding 

分 类 号：O211.5[理学—概率论与数理统计]