BEGIN:VCALENDAR VERSION:2.0 PRODID:-//132.216.98.100//NONSGML kigkonsult.se iCalcreator 2.20.4// BEGIN:VEVENT UID:20250513T101727EDT-1860evUvgF@132.216.98.100 DTSTAMP:20250513T141727Z DESCRIPTION:Robert Platt\, PhD\n\nProfessor\, Departments of Pediatrics and of Epidemiology\, Biostatistics\, and Occupational Health\, ɬÀï·¬ Univer sity\n\nTargeted Learning in Pharmacoepidemiology\n\nALL ARE WELCOME\n\nAb stract:\n\nTargeted learning\, or targeted maximum likelihood estimation ( TMLE) is a framework for estimation that allows for specification and esti mation of policy-relevant target parameters.  I will introduce TMLE\, and discuss why targeted estimation in general\, in which the statistical meth od is tailored to the parameter of interest rather than vice versa\, shoul d be used.  I will briefly outline TMLE for estimation of marginal paramet ers in pharmacoepidemiologic research with large administrative datasets.  I will demonstrate TMLE in a study of the use of statins and all-cause mo rtality\, and via simulation.\n\nBio:\n\nRobert Platt is Professor in the departments of Pediatrics and of Epidemiology\, Biostatistics\, and Occupa tional Health at ɬÀï·¬.  He received a BSc in Mathematics from ɬÀï·¬\, an MSc in Statistics from the University of Manitoba\, and MS an d PhD in Biostatistics from the University of Washington\, and joined McGi ll in 1996.  Dr. Platt was director of the Biostatistics program from 2006 -2012\, and is currently the Director of Graduate Programs in the Departme nt of Epidemiology\, Biostatistics\, and Occupational Health.  He holds a CIHR Foundation Scheme grant\, and is co-PI and leader of the methods team for the Canadian Network for Observational Drug Effect Studies.  His rese arch interests centre on causal inference in epidemiologic studies\, with emphasis on pharmacoepidemiology and pediatric and perinatal epidemiology. \n DTSTART:20151204T170000Z DTEND:20151204T180000Z LOCATION:Room 25\, Purvis Hall\, CA\, QC\, Montreal\, H3A 1A2\, 1020 avenue des Pins Ouest SUMMARY:Special Seminar URL:/epi-biostat-occh/channels/event/special-seminar-2 56937 END:VEVENT END:VCALENDAR