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DTSTAMP:20260601T112524Z
DESCRIPTION:\n	\n		\n			\n				TITLE / TITRE\n					State-dependent Sampling in Observationa
 l Cohort Studies.\n					\n					ABSTRACT / RÉSUMÉ \n\n				Observational cohort studies of
  chronic disease involve the recruitment and follow-up of a sample of indi
 viduals with the goal of learning about the course of the disease\, the ef
 fect of fixed and time-varying risk factors. Analysis of this information 
 is often facilitated by using multistate models with intensity functions g
 overning transition between disease states. Chronic disease studies often 
 involve conditions for recruitment\, for example incident cohort involves 
 individuals who are healthy at accrual\, prevalent cohort samples individu
 als who have already developed the disease\, and a length biased sampling 
 includes individual who are alive at the time of recruitment. In this talk
  we discuss the impact of ignoring state-dependent sampling in life histor
 y analysis and the ways of addressing the issue using auxiliary informatio
 n. A longitudinal study of aging and cognition among religious sisters is 
 used to illustrate the related methodology.\n\n				Adresse\n\n				PLACE/LIEU \n\n				C
 RM\, Pavillon André-Aisenstadt \, Room 5340\n\n				The presentation will also 
 be accessible using Zoom with the following information:\n\n				\n					Link: https:
 //us06web.zoom.us/j/84226701306?pwd=UEZ5NVpZaUlldW5qNU8vZzIvbEJXQT09 \,\n					M
 eeting ID: 842 2670 1306\,\n					Passcode: 692788.\n				\n			\n		\n	\n\n\n \n
DTSTART:20231122T203000Z
DTEND:20231122T213000Z
SUMMARY:Leilei Zeng (University of Waterloo)
URL:/mathstat/channels/event/leilei-zeng-university-wa
 terloo-352826
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