Abstract #301691

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JSM 2003 Abstract #301691
Activity Number: 289
Type: Contributed
Date/Time: Tuesday, August 5, 2003 : 2:00 PM to 3:50 PM
Sponsor: Section on Health Policy Statistics
Abstract - #301691
Title: Joint Modeling of Longitudinal Quality of Life and Survival Data
Author(s): Laura Johnson*+
Companies: National Cancer Institute-University of Washington
Address: 6116 Executive Blvd., Bethesda, MD, 20892-0001,
Keywords: bootstrap ; time-to-event ; longitudinal data analysis ; survival analysis
Abstract:

Quality of life measures collected longitudinally in the chronic disease setting may be used to evaluate clinical trial data and help patients and clinicians develop and evaluate a patient's prognosis. In the chronic disease setting a substantial portion of patients in trials may die, and this combined with missing data issues makes the analysis of longitudinal measures difficult. This paper develops joint probability models to evaluate trajectories of the probability of being healthy and alive (PAH) while avoiding the imputation of data after death. A two-dimensional graph has been developed to describe both survival and the joint probability of being alive and healthy over time. A bootstrap based test is used to compare two groups (D-PAH). Examples are given using a general health question and the physical component score (PCS) from the Short Form 36-Item Health Survey.

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