期刊
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION
卷 104, 期 486, 页码 803-815出版社
AMER STATISTICAL ASSOC
DOI: 10.1198/jasa.2009.0130
关键词
Censored survival data; Estimating equation approach; Inverse probability of censoring weighting; Mean residual life; Semiparametric efficiency; Transformed models
资金
- NCI NIH HHS [P30 CA008748, P30 CA008748-329010] Funding Source: Medline
- NATIONAL CANCER INSTITUTE [P30CA008748] Funding Source: NIH RePORTER
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 Lip 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.
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