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BEGIN:VEVENT
UID:387@isdm.umontpellier.fr
DTSTART;TZID=Europe/Paris:20240910T000000
DTEND;TZID=Europe/Paris:20240910T235900
DTSTAMP:20260828T114217Z
URL:https://isdm.umontpellier.fr/events/combining-multiple-imputation-and-
 propensity-score-matching-in-practice-2/
SUMMARY:Combining multiple imputation and propensity score matching in prac
 tice
DESCRIPTION:Room 02.124\, Building 5\, St Priest campus\n\nMachine Learning
  in Montpellier\, Theory &amp\; Practice\n\nCausal inference using observa
 tional data presents many statistical challenges\, particularly when deali
 ng with missing confounder data. While multiple imputation offers a potent
 ial solution\, its implementation with propensity score matching requires 
 careful consideration. In this talk\, we will delve into empirical studies
  conducted by the LSHTM* Statistics team to explore these matters.\,\,\n\n
 Machine Learning in Montpellier\, Theory &amp\; Practice
ATTACH;FMTTYPE=image/jpeg:https://isdm.umontpellier.fr/wp-content/uploads/
 2026/06/ml-mtp-gC78d5.png
CATEGORIES:ML MTP
LOCATION:Saint Priest Campus - Building 5 - Room 02.124\, 860 rue St Priest
 \, Montpellier\, 
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=860 rue St Priest\, Montpel
 lier\, ;X-APPLE-RADIUS=100;X-TITLE=Saint Priest Campus - Building 5 - Room
  02.124:geo:0,0
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