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Department seminar by David Wolfson, McGillExport this event to calendar

Thursday, October 25, 2012 — 4:00 PM EDT

"Assessing a change in survival from prevalent cohort data with follow-up"

When subjects with prevalent disease are identified and followed forward until death or censoring we refer to a Prevalent Cohort Study with Follow-up (PCSF). Such study designs are often more cost effective and logistically easier to carry out than incident cohort studies. In these one begins with a disease-free cohort, which is followed forward with the aim of identifying incident cases as they occur and then following them forward until death or censoring. The survival data in a PCSF is left truncated, as long survivors have a greater chance of being selected into the initial prevalent cohort. Despite this cohort of biased failure times that do not represent the true survivor function of interest, it is possible to ascertain whether survival changed before recruitment of the prevalent cohort. I shall show how this may be achieved by using the information contained in the current and residual lifetimes (possibly right censored) that the history and follow-up of the prevalent cases provides. I will begin with some basic notions of prevalent cohort studies with follow-up, and briefly describe the use of current and residual lifetimes to address problems that may be considered as duals to the focus of my talk. I will demonstrate the approach to investigate whether survival with dementia in Canada changed in a time period before 1991. 

This work is joint with Vittorio Addona (Macalaster College, St. Paul, Minnesota) and Juli Atherton (Université du Québec à Montréal).

Location 
M3 - Mathematics 3
3127
200 University Avenue West

Waterloo, ON N2L 3G1
Canada

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