A new nonparametric quantile estimate for length-biased data with competing risks

Feipeng Zhang and Zhong Tan

Economics Letters, 2015, vol. 137, issue C, 10-12

Abstract: 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.

Keywords: Competing risks; Quantile; EM algorithm; Length-biased data (search for similar items in EconPapers)
JEL-codes: C1 C14 (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ecolet:v:137:y:2015:i:c:p:10-12

DOI: 10.1016/j.econlet.2015.10.023

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