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    Please use this identifier to cite or link to this item: http://140.128.103.80:8080/handle/310901/21868


    Title: Estimation of the bivariate cause-specific distribution function with left-truncated competing risks data
    Authors: Shen, P.-S.
    Contributors: Department of Statistics, Tunghai University Taichung
    Keywords: Cause-specific distribution;Competing risk models;Random truncation
    Date: 2012
    Issue Date: 2013-05-15T09:06:59Z (UTC)
    Abstract: In this article, we consider estimating the bivariate cause-specific distribution function when both components are subject to left truncation and right censoring. Based on the estimators proposed by Shen and Yan (2008), we propose two types of estimators as the extension of Sankaran et al. (2006). The asymptotical properties of the proposed estimators are established. A simulation study is conducted to investigate the performance of the proposed estimators. ? 2012 Copyright Taylor and Francis Group, LLC.
    Relation: Communications in Statistics: Simulation and Computation
    Volume 41, Issue 1, January 2012, Pages 99-110
    Appears in Collections:[統計學系所] 期刊論文

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