BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Talks.cam//talks.cam.ac.uk//
X-WR-CALNAME:Talks.cam
BEGIN:VEVENT
SUMMARY:Addressing an extreme positivity violation to distinguish the caus
 al effects of surgery and anesthesia via a separable effects model - Caleb
  Miles (Columbia University)
DTSTART:20260302T140000Z
DTEND:20260302T144500Z
UID:TALK244360@talks.cam.ac.uk
DESCRIPTION:The U.S. Food and Drug Administration has cautioned that prena
 tal exposure to anesthetic drugs during the third trimester may have neuro
 toxic effects\; however\, there is limited clinical evidence available to 
 substantiate this recommendation. One major scientific question of interes
 t is whether such neurotoxic effects might be due to surgery\, anesthesia\
 , or both. Isolating the effects of these two exposures is challenging bec
 ause they are observationally equivalent\, thereby inducing an extreme pos
 itivity violation. To address this\, we adopt the separable effects framew
 ork of Robins and Richardson (2010) to identify the effect of anesthesia (
 alone) by blocking effects through variables that are assumed to completel
 y mediate the causal pathway from surgery to the outcome. We apply this ap
 proach to data from the nationwide Medicaid Analytic eXtract (MAX) from 19
 99 through 2013\, which linked 16\,778\,281 deliveries to mothers enrolled
  in Medicaid during pregnancy. Furthermore\, we assess the sensitivity of 
 our results to violations of our key identification assumptions.
LOCATION:Seminar Room 1\, Newton Institute
END:VEVENT
END:VCALENDAR