Abstract #300108

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JSM 2003 Abstract #300108
Activity Number: 302
Type: Contributed
Date/Time: Tuesday, August 5, 2003 : 2:00 PM to 3:50 PM
Sponsor: Biopharmaceutical Section
Abstract - #300108
Title: An Accelerated Model for Recurrence Data
Author(s): Jason Jinzhong Liao*+
Companies: Merck Research Laboratories
Address: WP37C-305, West Point, PA, 19486,
Keywords: First failure time ; Time between failures ; The number of failures ; Age-dependent repair ; Age-free repair ; Maximum likelihood estimate (MLE)
Abstract:

An accelerated model for recurrence data is proposed. The model is based on the time between failures (TBFs) instead of the total (cumulative) failure times in traditional approaches, and the inference can be fulfilled by the maximum likelihood method. In addition, the repair effect or cure effect is also studied. A graphical display of recurrence data by plotting the log-TBFs versus the number of failures is proposed to catch any trend for log-TBFs. The model is then extended to incorporate covariates such as the treatment effect and batch effect, and/or time factors. A real dataset is used to demonstrate the usefulness of the proposed model.

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