Causal Inference With Selectively-Deconfounded Data

Gan Kyra
Gan Kyra
Li Andrew A.
Li Andrew A.
Cited by: 0|Views44

Abstract:

Given only data generated by a standard confounding graph with unobserved confounder, the Average Treatment Effect (ATE) is not identifiable. To estimate the ATE, a practitioner must then either (a) collect deconfounded data; (b) run a clinical trial; or (c) elucidate further properties of the causal graph that might render the ATE iden...More

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