Estimation of the failure time distribution in the presence of informative censoring

被引：69
|
作者：
Scharfstein, DO
Robins, JM
机构：
[1] Johns Hopkins Bloomberg Sch Publ Hlth, Dept Biostat, Baltimore, MD 21205 USA
[2] Harvard Univ, Sch Publ Hlth, Dept Epidemiol & Biostat, Boston, MA 02115 USA
来源：
BIOMETRIKA | 2002年 / 89卷 / 03期
基金：
美国国家卫生研究院;
关键词：
coarsening at random; competing risks; curse of dimensionality; inverse probability of censoring weighted estimation; Kaplan-Meier estimator; sequential ignorability of censoring;
D O I：
10.1093/biomet/89.3.617
中图分类号：
Q [生物科学];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
We present a method for estimating the survival curve of a continuous failure time random variable from right-censored data. Our method allows adjustment for informative censoring due to measured prognostic factors for time-to-event and censoring while simultaneously quantifying the sensitivity of the inference to residual dependence between failure and censoring due to unmeasured factors. We present the results of a simulation study and illustrate our approach using data from the AIDS Clinical Trial Group 175 study.
引用
收藏
页码：617 / 634
页数：18
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