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

Abstract Details

Activity Number: 642
Type: Invited
Date/Time: Thursday, August 5, 2010 : 10:30 AM to 12:20 PM
Sponsor: SSC
Abstract - #306013
Title: Incidence, Prevalence, and Duration in Alternating Events Models
Author(s): Mei-Cheng Wang*+ and Russell T. Shinohara
Companies: The Johns Hopkins University and Johns Hopkins Bloomberg School of Public Health
Address: Department of Biostatistics, Baltimore, MD, 21205,
Keywords: Incidence ; Prevalence ; Duration ; Alternating Events ; Recurrent Events

In studies of a non-recurrent disease, it is understood that incidence, prevalence and duration are three important components for formulating the magnitude and changes of the disease over time. In this talk we study a recurrent disease with emphasis on incidence, prevalence and duration through useful formulas in alternating events models. Statistical methods are developed for estimating the three components. In modeling of alternating events data, interests could focus on probability structure of time-to-events or time-between-events. In general, a point process model gives time-to-events interpretation and a gap time model leads to time-between-events interpretation. While the proposed work can be viewed as a compromise between time-to-events and time-between-events analyses, it offers additional and important interpretations that the other two models do not offer.

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