A martingale-based test for independence of time to failure and cause of failure for competing risks models

被引：3

作者：

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

Dewan, Isha ^{[2
]}

Sreedevi, E. P. ^{[3
]}

机构：

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

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

[3] SNGS Coll Pattambi, Dept Stat, Palakkad, India

来源：

COMMUNICATIONS IN STATISTICS-THEORY AND METHODS | 2017年 / 46卷 / 16期

关键词：

Competing risks; Martingale approach; chi-square distribution; CUMULATIVE INCIDENCE FUNCTIONS; HAZARD RATES; CONDITIONAL PROBABILITIES; EQUALITY; LIKELIHOOD;

D O I：

10.1080/03610926.2016.1175631

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 article, we introduce a class of tests, using a martingale approach, for testing independence of failure time and cause of failure for competing risks data. Asymptotic distribution of the proposed test statistic is derived. The procedure is illustrated with a real-life data. A simulation study is carried out to assess the level and power of the test.

引用

页码：8178 / 8186

页数：9

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