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
收藏
页码：8178 / 8186
页数：9
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