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Lifetime Data Anal. 2004 Jun;10(2):103-20.

Two-sample statistics for testing the equality of survival functions against improper semi-parametric accelerated failure time alternatives: an application to the analysis of a breast cancer clinical trial.

Author information

1
Department of Public Health and National Institute for Health and Medical Research (INSERM U472) Paul Brousse Hospital, Villejuif, France and Institut Curie, 26 rue d'Ulm, Paris, France. broet@vjf.inserm.fr

Abstract

This paper presents two-sample statistics suited for testing equality of survival functions against improper semi-parametric accelerated failure time alternatives. These tests are designed for comparing either the short- or the long-term effect of a prognostic factor, or both. These statistics are obtained as partial likelihood score statistics from a time-dependent Cox model. As a consequence, the proposed tests can be very easily implemented using widely available software. A breast cancer clinical trial is presented as an example to demonstrate the utility of the proposed tests.

PMID:
15293627
PMCID:
PMC2992553
[Indexed for MEDLINE]
Free PMC Article

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