A partial identification framework with two sensitivity parameters bounds treatment effects in data fusion settings where both no-unmeasured-confounding and study-exchangeability fail.
The derivation of the efficient influence function is in Appendix C Guidelines: • The answer NA means that the paper does not include theoretical results
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Data Fusion for Partial Identification of Causal Effects
A partial identification framework with two sensitivity parameters bounds treatment effects in data fusion settings where both no-unmeasured-confounding and study-exchangeability fail.