Nonparametric inference under competing risks and selection-biased sampling

JOURNAL OF MULTIVARIATE ANALYSIS

卷:99

Article

Dauxois, Jean-Yves¹  Guilloux, Agathe² 

[1] Univ Franche Comte, CNRS, UMR 6623, Dept Math, F-25030 Besancon, France

[2] Univ Paris 06, LSTA, F-75013 Paris, France

关键词: competing risks;    selection bias;    right-censored data;    cumulative incidence function;    nonparametric inference;    weak convergence of processes;    Skorohod space;    Martingale;    counting process;   

DOI  :  10.1016/j.jmva.2007.02.001

来源: Elsevier

【 摘 要 】

The aim of this paper is to carry out statistical inference in a competing risks setup when only selection-biased observation of the data of interest is available. We introduce estimators of the cumulative incidence functions and study their joint large sample behavior. (c) 2007 Elsevier Inc. All rights reserved.

【 授权许可】

Free