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Relationship of causal effects in a causal chain and related inference 被引量:1

Relationship of causal effects in a causal chain and related inference
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摘要 This paper discusses the relationship among the total causal effect and local causal effects in a causal chain and identifiability of causal effects. We show a transmission relationship of causal effects in a causal chain. According to the relationship, we give an approach to eliminating confounding bias through controlling for intermediate variables in a causal chain. This paper discusses the relationship among the total causal effect and local causal effects in a causal chain and identifiability of causal effects. We show a transmission relationship of causal effects in a causal chain. According to the relationship, we give an approach to eliminating confounding bias through controlling for intermediate variables in a causal chain.
出处 《Science China Mathematics》 SCIE 2004年第5期730-740,共11页 中国科学:数学(英文版)
基金 This work was supported by the National Natural Science Foundation of China(Grant No.90209010) NBRP2003CB715900.
关键词 CAUSAL chain CAUSAL inference COUNTERFACTUAL model GRAPHICAL model potential CAUSAL function. causal chain causal inference counterfactual model graphical model potential causal function
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  • 1Holland,P. W.Statistics and causal inference, J.Amer. Statist[].Asso.1986
  • 2Rubin,D. B.Estimating causal effects of treatments in randomized and nonrandomized studies, J[].Educational Psychology.1974
  • 3Pearl,J.Causal diagrams for empirical research (with discussion)[].Biometrika.1995
  • 4Stone,R.The assumptions on which causal inferences rest, J.R. Statist[].Sociological Bulletin.1993

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