Nonparametric inference under competing risks and selection-biased sampling
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.
Year of publication: |
2008
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Authors: | Dauxois, Jean-Yves ; Guilloux, Agathe |
Published in: |
Journal of Multivariate Analysis. - Elsevier, ISSN 0047-259X. - Vol. 99.2008, 4, p. 589-605
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Publisher: |
Elsevier |
Keywords: | Competing risks Selection bias Right-censored data Cumulative incidence function Nonparametric inference Weak convergence of processes Skorohod space Martingale Counting process |
Saved in:
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