BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//132.216.98.100//NONSGML kigkonsult.se iCalcreator 2.20.4//
BEGIN:VEVENT
UID:20250507T103140EDT-3730uPlG5V@132.216.98.100
DTSTAMP:20250507T143140Z
DESCRIPTION: \nA word of caution regarding stabilized weights when using ma
 rginal structural models to estimate the effect of exposure history\nDenis
  Talbot\, PhD\n	Biostatistics Professor\, Department of Social and Preventi
 ve Medicine\, Laval University\n\n	Abstract:\nMarginal structural models (M
 SMs) are commonly used to estimate the causal effect of a time-varying exp
 osure in presence of time-dependent confounding. These models have gained 
 vast popularity over the recent years\, in part due to their ease of imple
 mentation. Indeed\, the most common implementation of MSMs consists of fit
 ting a weighted outcome model (e.g. a linear regression)\, where observati
 ons are weighted according to their inverse-probability-of-treatment weigh
 ts. Users must however be wary of a number of subtle issues regarding MSMs
  that might impact the validity of the inferences. In this talk\, I first 
 introduce MSMs and then present one such issue: the stabilization of the w
 eights. This stabilization is usually recommended to reduce variability\, 
 but I provide a simple example and some simulation results where it is als
 o observed to yield biased inferences.\nBio:\nhttps://sites.google.com/sit
 e/denistalbotfmed1/home\n
DTSTART:20150922T193000Z
DTEND:20150922T203000Z
LOCATION:Room 24\, Purvis Hall\, CA\, QC\, Montreal\, H3A 1A2\, 1020 avenue
  des Pins Ouest
SUMMARY:Biostatistics Seminar
URL:/epi-biostat-occh/channels/event/biostatistics-sem
 inar-254824
END:VEVENT
END:VCALENDAR