科研之友
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摘要
The paper aims to propose a new nonparametric quantile estimate for length-biased data with competing risks. A new EM-algorithm for directly estimating nonparametric cumulative incidence function of competing risks is presented. The good performance of the proposed estimator is investigated through simulation studies. A real data example is also provided.
