Abstract #301296

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JSM 2003 Abstract #301296
Activity Number: 302
Type: Contributed
Date/Time: Tuesday, August 5, 2003 : 2:00 PM to 3:50 PM
Sponsor: Biopharmaceutical Section
Abstract - #301296
Title: Properties of Correlated Time-to-Event Data and Comparison of Efficiency Among Multiple Time-to-Event Analysis Methods
Author(s): Surya P. Mohanty*+ and Akiko Okamoto and Yi-Wen Ma
Companies: Johnson & Johnson Pharmaceutical Research and Development, LLC and Johnson & Johnson Pharmaceutical Research and Development, LLC and Johnson & Johnson Pharmaceutical Research and Development, LLC
Address: 1125 Trenton Harbourton Rd., Titusville, NJ, 08560-1504,
Keywords: time to event ; counting process ; multiple event ; correlated binary outcomes
Abstract:

When comparing various time-to-event data analysis methods, the data generated from marginal exponential distributions is suited for Wei-Lin-Weisfeld (WLW) method but not for Anderson-Gill (AG) method which is based on counting process. Based on the concept of counting process approach, we propose a method of generating time-to-event data using dependent binary random variables. Properties of this type of data will be examined. Efficiency of various methods of time-to-event data will be compared through simulation.

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