On the Monotonicity of a Nondifferentially Mismeasured Binary Confounder
Methodology
2020-08-25 v9 Machine Learning
Machine Learning
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.
Cite
@article{arxiv.2005.13245,
title = {On the Monotonicity of a Nondifferentially Mismeasured Binary Confounder},
author = {Jose M. Peña},
journal= {arXiv preprint arXiv:2005.13245},
year = {2020}
}