Relationship of causal effects in a causal chain and related inference  

作　　者：GENG Zhi HE Yangbo WANG Xueli 

机构地区：[1]School of Mathematical Sciences, LMAM, Peking University, Beijing 100871, China School of Mathematical Sciences, LMAM, Peking University, Beijing 100871, China School of Mathematical Sciences, LMAM, Peking University, Beijing 100871, China

出　　处：《Science China Mathematics》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.

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.

关 键 词：CAUSAL chain  CAUSAL inference  COUNTERFACTUAL model  GRAPHICAL model  potential CAUSAL function. 

分 类 号：N[自然科学总论]