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SUMMARY:Single Proxy Identifiability of Causal Effects - Silvan Vollmer (U
 niversity of Copenhagen)
DTSTART:20260303T140000Z
DTEND:20260303T144500Z
UID:TALK244378@talks.cam.ac.uk
DESCRIPTION:This talk is about identifiability of causal effects under uno
 bserved confounding. We consider causal effects of a treatment on an outco
 me and rather than observing the confounder directly\, we observe a single
 \, potentially high-dimensional proxy variable of the confounder. Further\
 , we assume that the mechanism generating the proxy is known. Under assump
 tions on this mechanism\, we prove that causal effects can be recovered. H
 ence\, we establish Single Proxy Identifiability of Causal Effects\, or si
 mply SPICE. Our results extend current research to higher dimensions\, mor
 e flexible functional relationships\, and a broader class of distributions
 . In this setting\, we develop a neural network-based method to estimate c
 ausal effects. It can be applied\, for example\, in oncology\, where a pat
 ient&rsquo\;s overall fitness acts as an unobserved confounder\, influenci
 ng both the choice of treatment aimed at curing cancer and patient surviva
 l.\nThis is joint work with Sebastian Weichwald and Niklas Pfister.\n&nbsp
 \;
LOCATION:Seminar Room 1\, Newton Institute
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