JSM 2005 - Toronto

Abstract #303612

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Legend: = Applied Session, = Theme Session, = Presenter
Activity Number: 218
Type: Topic Contributed
Date/Time: Tuesday, August 9, 2005 : 8:30 AM to 10:20 AM
Sponsor: Biometrics Section
Abstract - #303612
Title: Adjusted Estimates for Time-to-event Endpoints
Author(s): Ted Gooley*+
Companies: Fred Hutchinson Cancer Research Center
Address: 1100 Fairview Ave N, Seattle, WA, 98109, United States
Keywords:
Abstract:

When comparing two groups with respect to time-to-event outcomes, proportional hazards regression allows one to adjust for factors that influence outcome, thereby giving a more accurate estimate of the cause-specific hazard ratio of failure. If nontreatment factors of importance are disproportionately distributed between the treatment groups, however, plots of the unadjusted time-to-event outcomes can lead to curves that are visually inconsistent with the estimate of the true treatment effect obtained from the regression model. We propose a new means of obtaining adjusted estimates for plotting purposes. This method does not rely on the assumption of proportional hazards, as do some of the other existing methods for these purposes, and it also can be applied easily to time-to-event endpoints subject to competing risks. We will provide examples from both simulated and real data.

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Revised March 2005