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SUMMARY:Interference: Past\, Present\, Future - M. Elizabeth Halloran (Uni
 versity of Washington)
DTSTART:20260305T160000Z
DTEND:20260305T164500Z
UID:TALK244435@talks.cam.ac.uk
DESCRIPTION:Defining estimands for indirect\, total\, and overall effects 
 of an intervention in the potential outcomes framework of causal inference
  is not straightforward. &nbsp\;Often in causal inference the assumption o
 f no interference is made wherein the outcome in one individual is indepen
 dent of the treatment assignment in the other individuals in the populatio
 n (Cox 1958).&nbsp\; However\, in many contexts\, for example infectious d
 iseases and vaccination\, this assumption does not hold. Indeed\, interfer
 ence is the source of the indirect\, total\, overall and other effects of 
 interest. In recent years\, methods and applications for causal inference 
 with interference have expanded rapidly. We discuss some approaches to est
 imating effects of interest under interference\, including the assumption 
 of partial interference\, allowing each individual to have its own interfe
 rence set\, and networks. We present an example of estimating direct\, ind
 irect\, total\, and overall effects of vaccination. We discuss exciting di
 rections of the field of causal inference with interference.\n&nbsp\;
LOCATION:Seminar Room 1\, Newton Institute
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