2000 character limit reached
On the Non-Monotonicity of a Non-Differentially Mismeasured Binary Confounder (2101.08007v3)
Published 20 Jan 2021 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 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.