#sensitivity

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• Causal Inference Under Partial Identification — Sensitivity and Evidence Hierarchies When real-world data fail strong ignorability, point identification gives way to bounds, proxies, and sensitivity analysis — an honest hierarchy of evidence that connects credible causal claims to semiparametric efficiency.