Affiliation:
1. IDA, Linköping University , Linköping Sweden
Abstract
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.
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Cited by
3 articles.
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