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Conditions for Non-confounding and Collapsibility without Knowledge of Completely Constructed Causal Diagrams
Authors:ZHI GENG  & GUANGWEI LI
Institution:Peking University
Abstract:In this paper, we discuss several concepts in causal inference in terms of causal diagrams proposed by Pearl (1993 , 1995a , b ), and we give conditions for non-confounding, homogeneity and collapsibility for causal effects without knowledge of a completely constructed causal diagram. We first introduce the concepts of non-confounding, conditional non-confounding, uniform non-confounding, homogeneity, collapsibility and strong collapsibility for causal effects, then we present necessary and sufficient conditions for uniform non-confounding, homegeneity and collapsibilities, and finally we show sufficient conditions for non-confounding, conditional non-confounding and uniform non-confounding.
Keywords:causal inference  collapsibility  confounding  graphical model
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