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On the Non-Monotonicity of a Non-Differentially Mismeasured Binary Confounder

arXiv 2101.08007 ↗First posted 20 Jan 2021stat.ME cs.LG stat.MLcited by 0

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Abstract (arXiv)

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.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 2 of its 9 references that are in the map. First posted on arXiv 20 Jan 2021.

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References · 2

  1. 2016Identifying Causal Effects With Proxy Variables of an Unmeasured Confoundercited by 139
  2. 2020On the Monotonicity of a Nondifferentially Mismeasured Binary Confoundercited by 6

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