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On the Monotonicity of a Nondifferentially Mismeasured Binary Confounder (2005.13245v9)

Published 27 May 2020 in stat.ME, cs.LG, and stat.ML

Abstract: Suppose that we are interested in the average causal effect of a binary treatment on an outcome when this relationship is confounded by a binary confounder. Suppose that the confounder is unobserved but a nondifferential proxy of it is observed. We show that, under certain monotonicity assumption that is empirically verifiable, adjusting for the proxy produces a measure of the effect that is between the unadjusted and the true measures.

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