Causal effects are identifiable from a single proxy of the unobserved confounder under the SPICE completeness assumption, supported by a neural estimation framework.
A new approach to causal inference in mortality studies with a sustained exposure period—application to control of the healthy worker survivor effect
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Identifying Causal Effects Using a Single Proxy Variable
Causal effects are identifiable from a single proxy of the unobserved confounder under the SPICE completeness assumption, supported by a neural estimation framework.