Incorporating follow-up time in M-estimation for survival data Journal Article


Author: Heller, G.
Article Title: Incorporating follow-up time in M-estimation for survival data
Abstract: It has been approximately 30 years since D.R. Cox introduced the proportional hazards method to model the relationship between covariates and survival time. However, the proportional hazards model has limited value when the proportionality assumption is violated. Over the years, there have many been many alternative proposals to the proportional hazards regression model for the case of right censored survival data, but to date none have demonstrated widespread acceptance. In general, problems encountered in these methods include their computational algorithms or evaluation of their asymptotic properties. In this work, an estimating equation based on a U-statistic of degree 2 is proposed. It is easy to implement and the U-statistic framework provides a straightforward development of asymptotic inferential theory for the regression parameters.
Keywords: survival; survival analysis; methodology; proportional hazards models; algorithms; time; proportional hazards model; statistical analysis; data interpretation, statistical; algorithm; regression analysis; biometry; estimating equation; humans; human; article; kernel smoothing; u-statistic; administrative censoring
Journal Title: Lifetime Data Analysis
Volume: 10
Issue: 1
ISSN: 1380-7870
Publisher: Springer  
Date Published: 2004-03-01
Start Page: 51
End Page: 64
Language: English
DOI: 10.1023/B:LIDA.0000019255.21735.9b
PROVIDER: scopus
PUBMED: 15130050
DOI/URL:
Notes: Lifetime Data Anal. -- Cited By (since 1996):2 -- Export Date: 16 June 2014 -- Source: Scopus
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  1. Glenn Heller
    399 Heller