Test for independence between time to failure and cause of failure in competing risks with k causes

被引：3

作者：

Anjana, S. ^{[1
]}

Dewan, Isha ^{[2
]}

Sudheesh, K. K. ^{[1
]}

机构：

[1] Indian Stat Inst, Chennai, Tamil Nadu, India

[2] Indian Stat Inst, Stat Math Unit, Delhi, India

来源：

JOURNAL OF NONPARAMETRIC STATISTICS | 2019年 / 31卷 / 02期

关键词：

Asymptotic efficiency; competing risks; conditional probability; right censoring; U-statistics;

D O I：

10.1080/10485252.2018.1563699

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：

In this paper, we develop a simple nonparametric test for testing the independence of time to failure and cause of failure in competing risks set up. We generalise the test to the situation where failure data is right censored. We obtain the asymptotic distribution of the test statistics for complete and censored data. The efficiency loss due to censoring is studied using Pitman efficiency. The performance of the proposed test is evaluated through simulations. Finally we illustrate our test procedure using three real data sets.

引用

页码：322 / 339

页数：18

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