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SUMMARY:Assessing Interactive Causes of an Occurred Outcome Due to Two Bin
 ary Exposures - Shanshan Luo (Beijing Technology and Business University)
DTSTART:20260302T153000Z
DTEND:20260302T161500Z
UID:TALK244363@talks.cam.ac.uk
DESCRIPTION:Most existing causal inference literature focuses on prospecti
 vely evaluating the total effect of single or multiple causes on an outcom
 e. In fields such as law and public health\, however\, it is often essenti
 al to retrospectively find the true causes given the evidence\, which ofte
 n includes the observed outcome variable. In this talk\, I will review rec
 ent advances in causal attribution analysis for retrospective settings wit
 h multiple causes. Focusing on the case of two binary causes and a binary 
 outcome\, I will discuss how posterior probabilities can be used to charac
 terize the interactive causes of an observed outcome. I will also present 
 a posterior responsibility attribution framework designed to quantify the 
 share of responsibility attributable to each cause. To illustrate\, I will
  discuss some practical examples\, such as apportioning responsibility for
  lung cancer between smoking and asbestos exposure.
LOCATION:Seminar Room 1\, Newton Institute
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