JSM 2005 - Toronto

Abstract #303279

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Legend: = Applied Session, = Theme Session, = Presenter
Activity Number: 66
Type: Contributed
Date/Time: Sunday, August 7, 2005 : 4:00 PM to 5:50 PM
Sponsor: ENAR
Abstract - #303279
Title: Tests of the Equality of Two Cumulative Incidence Functions
Author(s): Ruta Bajorunaite*+
Companies: Marquette University
Address: PO Box 1881, Milwaukee, WI, 53201-1881, United States
Keywords: Competing risks ; Cumulative incidence function ; 2-sample tests
Abstract:

Problems involving competing risks are common in biomedical and engineering applications. In such problems, there are several possible causes of failure. Occurrence of one risk causes the subject to fail and precludes occurrence of other events. Competing risks often are summarized by the cause-specific hazard rate. The second basic competing risks summary measure is the cumulative incidence function representing the probability of having experienced failure from the specific cause in the setting where competing risks are acknowledged to exist. We consider methods for comparing probabilities of a specific event between two groups in the presence of competing risks. Attention will be focused on various hypothesis-testing methods to compare cumulative incidence functions directly. Modifications of the earlier proposed tests and new hypothesis-testing methods will be discussed. We will present simulation results to estimate type I error rates and power under different scenarios. Recommendations regarding which hypothesis tests are most appropriate and perform best in the competing risks setting will be provided.

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Revised March 2005