Abstract #302056

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JSM 2003 Abstract #302056
Activity Number: 175
Type: Contributed
Date/Time: Monday, August 4, 2003 : 2:00 PM to 3:50 PM
Sponsor: Section on Nonparametric Statistics
Abstract - #302056
Title: Hypotheses and Guidelines for Survival Groups Comparison
Author(s): Gabriel P. Suciu*+
Companies: Inveresk Research
Address: Medical Data Science-Biostatistics, Research Triangle Park, NC, 27709-3991,
Keywords: hazard function ; alternative hypothesis ; nonparametric tests
Abstract:

Hypothesis tests of the equality of Kaplan-Meyer survival curves is typically accomplished using one of the available methods designed for this purpose but, without doubt, the logrank test is the one most commonly used. Perhaps the reason for the popularity of the logrank test rests in its ready availability in almost all statistical software packages. However, what many users do not appreciate is that the logrank test has very low power for some alternative hypotheses. Furthermore, the alternative hypothesis for which the log rank has good power may not be at all what the investigator has in mind. There are also assumptions that underlie the appropriate use of this test and these assumptions are often ignored (if not violated) and may lead to a test with very low power. A new methodology that unifies the impressive arsenal of survival comparison is presented. The new taxonomy and the guidelines conserve the power and the efficiency of the tests, contributing to a better treatment efficacy assessment in clinical trials.

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