JSM 2005 Online Program

Abstract #302897

This is the preliminary program for the 2005 Joint Statistical Meetings in Minneapolis, Minnesota. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 7-10, 2005); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

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Activity Number:	309
Type:	Topic Contributed
Date/Time:	Tuesday, August 9, 2005 : 2:00 PM to 3:50 PM
Sponsor:	Biometrics Section
Abstract - #302897
Title:	Parametric Frailty Models for Quality of Life in Oncology
Author(s):	Andrea B. Troxel*+
Companies:	University of Pennsylvania
Address:	School of Medicine, Asst Prof of Biostatistics, Philadelphia , PA, 19104, United States
Keywords:	frailty ; survival ; failure-time
Abstract:	Oncology studies often collect information on both clinical and quality-of-life (QOL) events. The QOL events are defined as occurring when a repeatedly measured scale or diary item surpasses a threshold of interest. Multivariate survival methods are an appealing analysis tool, but must be modified to handle unique features of QOL data. These include grouping of QOL event data, and more importantly, asymmetric dependent censoring induced on the QOL event by the survival event. We propose parametric survival models incorporating a shared gamma frailty parameter linking the two event types. The likelihood incorporates the asymmetry inherent in the event structure. This both accommodates the dependence and allows for estimation of the correlation between event types, which is of great interest in oncology. We describe the estimation process and demonstrate with an example.

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