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Regression analysis of censored survival data with the generalized F family—an alternative to the proportional hazards model

 

作者: Antonio Ciampi,   Sheilah A. Hogg,   Louis Kates,  

 

期刊: Statistics in Medicine  （WILEY Available online 1986）
卷期: Volume 5, issue 1  

页码: 85-96

 

ISSN:0277-6715

 

年代: 1986

 

DOI:10.1002/sim.4780050111

 

出版商: Wiley Subscription Services, Inc., A Wiley Company

 

关键词: Failure time analysis;Lifetime model;Discrimination;Maximum likelihood;estimates;Regression;Parametric model

 

数据来源: WILEY

 

摘要:

AbstractWe show that the generalized F family is a useful tool for regression analysis with censored survival data. We discuss maximum likelihood estimation and give asymptotic procedures for calculating confidence intervals, tests of significance for the parameters, life expectancy, quantiles and survival rates. Survival data on 704 ovarian carcinoma patients serve to demonstrate the utility of the model.

 

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