具有半竞争风险的建模数据:在哥伦比亚慢性肾脏疾病中的应用

Q3 Mathematics

Revista Colombiana De Estadistica Pub Date : 2019-01-01 DOI:10.15446/RCE.V42N1.68572

E. G. Patiño, G. Tunes, M. I. Múnera

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引用次数: 0

摘要

本文研究了Fine, Jiang & Chappell(2001)提出的半竞争风险数据的结构。有两个事件值得关注:非终结事件和终结事件，最后一个事件可以审查非终结事件，但反之则不行。由于在这些事件发生之前的时间之间可能存在依赖性，因此评估了两种方法:通过阿基米德copula和共享脆弱性模型对双变量生存函数进行建模。通过仿真来检验其性能，并将两种方法应用于慢性肾脏疾病(CKD)患者的真实数据集。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Modeling Data With Semicompeting Risks: An Application to Chronic Kidney Disease in Colombia

In this paper, the structure of semicompeting risks data, dened by Fine, Jiang & Chappell (2001), is studied. Two events are of interest: a nonterminal and a terminal event, the last one, can censor the non-terminal event, but not vice versa. Due to the possible dependence between the times until the occurrence of such events, two approaches are evaluated: modelling the bivariate survival function through Archimedean copulas and a shared frailty model. A simulation is conducted to examine its performance and both approaches are applied to a real data set of patients with chronic kidney disease (CKD).

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来源期刊

Revista Colombiana De Estadistica STATISTICS & PROBABILITY-

CiteScore

1.20

自引率

0.00%

发文量

审稿时长

>12 weeks

期刊介绍： The Colombian Journal of Statistics publishes original articles of theoretical, methodological and educational kind in any branch of Statistics. Purely theoretical papers should include illustration of the techniques presented with real data or at least simulation experiments in order to verify the usefulness of the contents presented. Informative articles of high quality methodologies or statistical techniques applied in different fields of knowledge are also considered. Only articles in English language are considered for publication. The Editorial Committee assumes that the works submitted for evaluation have not been previously published and are not being given simultaneously for publication elsewhere, and will not be without prior consent of the Committee, unless, as a result of the assessment, decides not publish in the journal. It is further assumed that when the authors deliver a document for publication in the Colombian Journal of Statistics, they know the above conditions and agree with them.