On the Monotonicity of a Nondifferentially Mismeasured Binary Confounder

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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Year of publication:	2020
Authors:	Peña, Jose M.
Published in:	Journal of Causal Inference. - De Gruyter, ISSN 2193-3685, ZDB-ID 2742570-8. - Vol. 8.2020, 1, p. 150-163
Publisher:	De Gruyter
Subject:	average causal effect \| confounding \| monotonicity

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Type of publication:	Article
Type of publication (narrower categories):	research-article
Language:	English
Other identifiers:	10.1515/jci-2020-0014 [DOI]
Source:	Other ZBW resources

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