On the Non-Monotonicity of a Non-Differentially Mismeasured Binary Confounder
Methodology
2021-01-29 v3 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 non-differential binary proxy of it is observed. We identify conditions under which adjusting for the proxy comes closer to the incomputable true average causal effect than not adjusting at all. Unlike other works, we do not assume that the average causal effect of the confounder on the outcome is in the same direction among treated and untreated.
Keywords
Cite
@article{arxiv.2101.08007,
title = {On the Non-Monotonicity of a Non-Differentially Mismeasured Binary Confounder},
author = {Jose M. Peña},
journal= {arXiv preprint arXiv:2101.08007},
year = {2021}
}
Comments
arXiv admin note: text overlap with arXiv:2005.13245