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Relationship of causal effects in a causal chain and related inference

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Abstract

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.

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Authors and Affiliations

  1. School of Mathematical Sciences, LMAM, Peking University, 100871, Beijing, China

    Zhi Geng, Yangbo He & Xueli Wang

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  1. Zhi Geng
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  2. Yangbo He
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  3. Xueli Wang
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Correspondence to Zhi Geng.

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Geng, Z., He, Y. & Wang, X. Relationship of causal effects in a causal chain and related inference. Sci. China Ser. A-Math. 47, 730 (2004). https://doi.org/10.1360/02ys0374

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  • DOI: https://doi.org/10.1360/02ys0374

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