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Chen, K. and Lo, S.-H. (1997) On the Rate of Uniform Convergence of the Product-Limit Estimator: Strong and Weak Laws. The Annals of Statistics, 25, 1050-1087. http://dx.doi.org/10.1214/aos/1069362738

has been cited by the following article:

• TITLE: Nelson-Aalen and Kaplan-Meier Estimators in Competing Risks

  AUTHORS: Didier Alain Njamen-Njomen, Joseph Ngatchou-Wandji

  KEYWORDS: Censored Data; Counting Process; Competitive Risk; Non-Parametric Estimators; The Cumulative Incidence Function; Risk Function Specific Cause; Conditional Distribution Function

  JOURNAL NAME: Applied Mathematics, Vol.5 No.4, March 18, 2014

  ABSTRACT: In this paper, stochastic processes developed by Aalen [1][2] are adapted to the Nelson-Aalen and Kaplan-Meier[3] estimators in a context of competing risks. We focus only on the probability distributions of complete downtime individuals whose causes are known and which bring us to consider a partition of individuals into sub-groups for each cause. We then study the asymptotic properties of nonparametric estimators obtained.