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Department of Statistics, UCLA

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Myth, Confusion, and Science in Causal Analysis

Abstract

This letter argues that the practice of conditioning on all observed covariates, recently advocated by several analysts, should be treated with great caution. Graphical methods explain why, and provide the scientific basis for principled selection of covariates.

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