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UID:20260610T083320EDT-0572EVbumu@132.216.98.100
DTSTAMP:20260610T123320Z
DESCRIPTION:depSeminar Epidemiology\, Biostatistics\, & Occupational Health
 \n\nTitle: Multi-State Models for Recurrent Events\n\nAbstract: Two classe
 s of statistical models for the analysis of recurrent events will be revie
 wed: intensity-based models and marginal models. In the former class of mo
 dels\, one aims at modeling the entire multi-state process and all its tra
 nsition intensities while\, in the latter class\, one focuses on the expec
 ted number of recurrent events over time. We will argue that the latter cl
 ass is particularly relevant in randomized studies where the aim is a comp
 arison of two treatment arms. we will distinguish between situations with 
 or without a 'terminating event' (competing risks) where the recurrent eve
 nts process is stopped because of the occurrence of another event (typical
 ly death of the patient). An example from psychiatry will illustrate the m
 ethods.\n\nWeb site : www.mcgill.ca/epi-biostat-occh/news-events/seminars/
 biostatistics\n\nVia Zoom: https://mcgill.zoom.us/j/88625559031?pwd=NGxGSk
 U3bG9rZmRXTG82dFBNeXc3Zz09\n
DTSTART:20210224T203000Z
DTEND:20210224T213000Z
SUMMARY:Per Kragh Andersen (University of Copenhagen)
URL:https://www.mcgill.ca/mathstat/channels/event/kragh-andersen-university
 -copenhagen-328396
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