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UID:20260415T071949EDT-7677iBTsVn@132.216.98.100
DTSTAMP:20260415T111949Z
DESCRIPTION:Title: Checking the Positivity Assumption in Practice\n\nAbstra
 ct\n\nThe positivity assumption\, meaning all individuals can receive each
  treatment modality\, is fundamental in causal inference. However\, its em
 pirical verification is often overlooked\, presumably because of its diffi
 culty. After discussing the different types of violations that may occur\,
  this talk will show how to go beyond propensity score to verify this assu
 mption using the Positivity Regression Trees (PoRT) algorithm available in
  the R library port. Their advantages and disadvantages will be discussed\
 , along with potential solutions in the case of a violation. If time permi
 ts\, an extension to the longitudinal and mediation context will be briefl
 y discussed.\n\nSpeaker bio\n\nArthur Chatton is an Assistant Professor of
  Biostatistics at the University of Montreal School of Public Health. His 
 works are at the crossroad of prediction and causation\, with an emphasis 
 on the use of super learning approaches. He aims to (i) evaluate and impro
 ve the quality\, usability and generalizability of predictive scores for p
 ersonalizing medical care and (ii) develop and evaluate new causal methods
  that consider the imperfection of data collected and used for applied res
 earch purposes.\n\nFor more information\, please visit: https://arthurchat
 ton.netlify.app/\n
DTSTART:20260211T203000Z
DTEND:20260211T213000Z
LOCATION:Room 1140\, McGill College 2001\, CA\, QC\, Montreal\, H3A 1G1\, 2
 001\, avenue McGill College
SUMMARY:Arthur Chatton - School of Public Health - Université de Montréal
URL:https://www.mcgill.ca/mathstat/channels/event/arthur-chatton-school-pub
 lic-health-universite-de-montreal-371116
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