#sensitivity

노트 1개

• 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.