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

被引：0
作者：
Philippe Broët
Alexander Tsodikov
Yann De Rycke
Thierry Moreau
机构：
[1] Paul Brousse Hospital,Department of Public Health and National Institute for Health and Medical Research (INSERM U472)
[2] Institut Curie,undefined
[3] Huntsman Cancer Institute 2000 Circle of Hope,undefined
来源：
Lifetime Data Analysis | 2004年 / 10卷
关键词：
accelerated failure time models; cure rate model; improper model; semi-parametric model;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
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.
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页码：103 / 120
页数：17
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