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Bounds and Sensitivity Analysis of the Causal Effect Under Outcome-Independent MNAR Confounding
Published 9 Oct 2024 in stat.ME, cs.LG, and stat.ML | (2410.06726v2)
Abstract: We report assumption-free bounds for any contrast between the probabilities of the potential outcome under exposure and non-exposure when the confounders are missing not at random. We assume that the missingness mechanism is outcome-independent. We also report a sensitivity analysis method to complement our bounds.
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