A class of transformed mean residual life models with censored survival data Journal Article


Authors: Sun, L.; Zhang, Z.
Article Title: A class of transformed mean residual life models with censored survival data
Abstract: The mean residual life function is an attractive alternative to the survival function or the hazard function of a survival time in practice. It provides the remaining life expectancy of a subject surviving up to time t. In this study, we propose a class of transformed mean residual life models for fitting survival data under right censoring. To estimate the model parameters, we make use of the inverse probability of censoring weighting approach and develop a system of estimating equations. Efficiency and robustness of the estimators are also studied. Both asymptotic and finite sample properties of the proposed estimators are established and the approach is applied to two real-life datasets collected from clinical trials. © 2009 American Statistical Association.
Journal Title: Journal of the American Statistical Association
Volume: 104
Issue: 486
ISSN: 0162-1459
Publisher: American Statistical Association  
Date Published: 2009-06-01
Start Page: 803
End Page: 815
Language: English
DOI: 10.1198/jasa.2009.0130
PROVIDER: scopus
PMCID: PMC2744430
PUBMED: 20161093
DOI/URL:
Notes: --- - "Cited By (since 1996): 1" - "Export Date: 30 November 2010" - "Source: Scopus"
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  1. Zhigang Zhang
    428 Zhang