Causal Inference
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Graph-Informed Semiparametric Estimation Sharpens Causal Bounds Under Unmeasured Confounding
When causal effects cannot be point-identified due to unmeasured confounding, sensitivity analysis produces bounds rather than point estimates. This paper introduces an influence function projection method that leverages conditional independence constraints encoded in a known causal graph to improve…