A First Passage Time Model for Long-Term Survivors with Competing Risks

被引：1

作者：

Xu, Ruimin ^{[1
]}

McNicholas, Paul D. ^{[1
]}

Desmond, Anthony F. ^{[1
]}

Darlington, Gerarda A. ^{[1
]}

机构：

[1] Univ Guelph, Guelph, ON N1G 2W1, Canada

来源：

INTERNATIONAL JOURNAL OF BIOSTATISTICS | 2011年 / 7卷 / 01期

基金：

加拿大自然科学与工程研究理事会;

关键词：

competing risks; EM algorithm; inverse Gaussian distribution; long-term survivors; Louis' method; MIXTURE-MODELS; CURE RATES; REGRESSION; LIKELIHOOD;

D O I：

10.2202/1557-4679.1224

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

We investigate a competing risks model, using the specification of the Gompertz distribution for failure times from competing causes and the inverse Gaussian distribution for failure times from the cause of interest. The expectation-maximization algorithm is used for parameter estimation and the model is applied to real data on breast cancer and melanoma. In these applications, our models compare favourably with existing techniques. The proposed method provides a useful technique that may be more broadly applicable than existing alternatives.

引用

页数：16

共 24 条

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