Assumptions regarding right censoring in the presence of left truncation

被引：10
|
作者：
Qian, Jing [1 ]
Betensky, Rebecca A. [2 ]
机构：
[1] Univ Massachusetts, Div Biostat & Epidemiol, Amherst, MA 01003 USA
[2] Harvard Univ, Sch Publ Hlth, Dept Biostat, Boston, MA 02115 USA
来源：
STATISTICS & PROBABILITY LETTERS | 2014年 / 87卷
关键词：
Censoring; Cross-sectional sampling; Quasi-independence; Truncation; SURVIVAL-DATA; NONPARAMETRIC-ESTIMATION; MODELS; INDEPENDENCE; SELECTION; FAILURE;
D O I：
10.1016/j.spl.2013.12.016
中图分类号：
O21 [概率论与数理统计]; C8 [统计学];
学科分类号：
020208 ; 070103 ; 0714 ;
摘要：
Clinical studies using complex sampling often involve both truncation and censoring, where there are options for the assumptions of independence of censoring and event and for the relationship between censoring and truncation. In this paper, we clarify these choices, show certain equivalences, and provide examples. (C) 2013 Elsevier B.V. All rights reserved.
引用
收藏
页码：12 / 17
页数：6
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