| Nonparametric inference under competing risks and selection-biased sampling | |||||||
Abstract | |||||||
| 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.. Competing risks Selection bias Right-censored data Cumulative incidence function Nonparametric inference Weak convergence of processes Skorohod space Martingale Counting process | |||||||
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