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SUMMARY:Causal effects conditional on post-treatment variables - Mats Sten
 srud (EPFL - Ecole Polytechnique Fédérale de Lausanne)
DTSTART:20260303T160000Z
DTEND:20260303T164500Z
UID:TALK244384@talks.cam.ac.uk
DESCRIPTION:Many studies aim to estimate treatment effects on outcomes tha
 t are defined only for individuals who experience a post-treatment event. 
 For example\, the effect of cancer therapies on quality of life is only we
 ll defined among individuals who are alive. Similarly\, the effect of vacc
 ines on post-infection outcomes is only of interest among individuals who 
 become infected. A naive comparison of outcomes conditional on such post-t
 reatment events generally lacks a causal interpretation\, even when treatm
 ent is randomly assigned.\n&nbsp\;\nIn this talk\, I discuss causal contra
 sts for outcomes conditional on post-treatment events\, including principa
 l stratum effects and conditional separable effects. I then derive identif
 ication results for these estimands and discuss their interpretation and t
 he conditions under which they might\, in principle\, be falsified. I illu
 strate the relevance of these results for clinical trials of cancer therap
 ies and vaccines\, and I conclude by revisiting the classical birth weight
  paradox in epidemiology.
LOCATION:Seminar Room 1\, Newton Institute
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