Non-parametric test of recurrent cumulative incidence functions for competing risks models

被引：0

作者：

Sisuma, M. S. ^{[1
]}

Sankaran, P. G. ^{[1
]}

机构：

[1] Cochin Univ Sci & Technol, Dept Stat, Kochi 682022, Kerala, India

来源：

METRON-INTERNATIONAL JOURNAL OF STATISTICS | 2022年 / 80卷 / 03期

关键词：

Recurrent event; Competing risks; Recurrent survival function; Cause specific hazard functions; Cumulative incidence functions; REGRESSION;

D O I：

10.1007/s40300-022-00228-x

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

Recurrent competing risks data are common in survival studies. In such contexts the effects of competing risks on lifetime outcomes are important problem of study. In this work we introduce recurrent cumulative incidence function and then propose a non-parametric test for comparing recurrent cumulative incidence functions. Asymptotic distribution of the test statistic is derived. A simulation study is carried out to assess the performance of the proposed test statistic. The proposed method is applied to an auto-mobile warranty data.

引用

页码：331 / 342

页数：12

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