Spline-based estimation of cure rates: An application to the analysis of breast cancer data

被引：2
|
作者：
Myasnikova, EM
Asselain, B
Yakovlev, AY
机构：
[1] Inst Curie, Biostat Unit, F-75231 Paris 05, France
[2] St Petersburg Tech State Univ, Dept Appl Math, St Petersburg 195251, Russia
[3] Univ Utah, Dept Oncol Sci, Huntsman Canc Inst, Salt Lake City, UT 84108 USA
来源：
MATHEMATICAL AND COMPUTER MODELLING | 2000年 / 32卷 / 1-2期
基金：
美国国家卫生研究院;
关键词：
cure models; estimation; survival data; spline approximation; hazard function;
D O I：
10.1016/S0895-7177(00)00130-8
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
This paper considers the utility of spline approximations of the hazard function for estimation of cure rates from survival data. With this approach, it is possible to assess dissimilar effects of various covariates on the probability of tumor cure and on the timing of the endpoint (death, tumor recurrence, etc.) under study. The usefulness of the approach is illustrated with an application to data on survival of patients treated for breast cancer. (C) 2000 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码：217 / 228
页数：12
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