Abstract #301709

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JSM 2002 Abstract #301709
Activity Number: 108
Type: Contributed
Date/Time: Monday, August 12, 2002 : 10:30 AM to 12:20 PM
Sponsor: ENAR
Abstract - #301709
Title: Analyzing Bivariate Survival Data with Interval Censoring
Author(s): Hsiao-Chuan Tien*+ and Pranab Sen
Affiliation(s): University of North Carolina and University of North Carolina, Chapel Hill
Address: Dept of Bios, CB# 7420, UNC-Chapel Hill, Chapel Hill, North Carolina, 27599-7420, UNS
Keywords: interval censoring ; bivariate survival function
Abstract:

Bivariate failure time data occur frequently in medical research, because each study subject may experience two types of events or because there exists natural or artificial pairing. This research develops methods for modeling bivariate failure time data when interval censoring occurs. We generalize Tien and Sen's (2000) idea of modeling bivariate failure time data to model bivariate interval censored outcomes. Simulations are performed to examine the characteristics of the proposed method under different scenarios.

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