This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 286
Type: Topic Contributed
Date/Time: Tuesday, August 3, 2010 : 8:30 AM to 10:20 AM
Sponsor: Biometrics Section
Abstract - #308383
Title: A Re-examination of the Analysis of Prevalent Cohort Survival Data
Author(s): Marco Carone*+ and Masoud Asgharian and Daniel O. Scharfstein
Companies: Johns Hopkins Bloomberg School of Public Health and McGill University and Johns Hopkins Bloomberg School of Public Health
Address: 615 N. Wolfe St., Baltimore, MD, 21205,
Keywords: age-at-onset ; cross-sectional sampling ; disease duration ; left-truncation ; nonparametric estimation ; prevalent cohort design
Abstract:

We consider inference about the bivariate distribution of age-at-onset and total disease duration in a target population. While the incident cohort design is optimal for addressing this aim, it is often impractical to implement. The prevalent cohort design, whereby diseased individuals are recruited and followed forward in time, represents an efficient alternative. To adjust for the inherent sampling bias, these data have typically been analyzed assuming independence between disease duration at recruitment and total disease duration. We argue that this assumption is inadequate and may result in biased inference. We relax this assumption and derive novel nonparametric estimators of the distribution of interest. Using data from the Canadian Study of Health and Aging, we utilize our methodology to investigate age-at-onset and disease duration for dementia in the Canadian elderly population.


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