Abstract #300926

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JSM 2003 Abstract #300926
Activity Number: 226
Type: Invited
Date/Time: Tuesday, August 5, 2003 : 10:30 AM to 12:20 PM
Sponsor: ENAR
Abstract - #300926
Title: Analysis of Latency as a Convolution of Ordered Dependent Interval Censored Failure Times
Author(s): Dianne M. Finkelstein*+ and Rebecca A. Betensky
Companies: Massachusetts General Hospital and Harvard School of Public Health
Address: 50 Staniford St., Biostatistics Center, Boston, MA, 02114-2517,
Keywords: survival distribution ; doubly interval censored ; bivariate
Abstract:

This talk will focus on methods for the analysis of latency data that are calculated from interval censored failure times. These data can arise when subjects are screened for evidence of infection, and then followed until disease onset or end of study. When subjects miss screening visits, the time of infection will be censored into the interval bounded by the last negative, and first positive screening times. Published methods for analysis of these data usually assume independence between time to infection and time to disease. We describe an approach to analyzing latency from doubly interval censored data that utilizes the bivariate distribution of the times, and does not require the independence assumption. The method is applied on data from a cohort of HIV-infected subjects.

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