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
收藏
页码：322 / 339
页数：18
相关论文
共 50 条
  • [41] Semiparametric marginal regression for clustered competing risks data with missing cause of failure
    Zhou, Wenxian
    Bakoyannis, Giorgos
    Zhang, Ying
    Yiannoutsos, Constantin T.
    [J]. BIOSTATISTICS, 2022,
  • [42] Competing approaches to analysis of failure times with competing risks
    Farley, TMM
    Ali, MM
    Slaymaker, E
    [J]. STATISTICS IN MEDICINE, 2001, 20 (23) : 3601 - 3610
  • [43] ANALYZING THE COMPETING RISKS MODEL WITH DISCRETE FAILURE-TIME DISTRIBUTION
    Singh, Bhupendra
    Singh, Gajraj
    [J]. INTERNATIONAL JOURNAL OF AGRICULTURAL AND STATISTICAL SCIENCES, 2012, 8 (01): : 15 - 24
  • [44] Simultaneous inference of a misclassified outcome and competing risks failure time data
    Luo, Sheng
    Su, Xiao
    Yi, Min
    Hunt, Kelly K.
    [J]. JOURNAL OF APPLIED STATISTICS, 2015, 42 (05) : 1080 - 1090
  • [45] A competing risks model with time-varying heterogeneity and simultaneous failure
    Liu, Ruixuan
    [J]. QUANTITATIVE ECONOMICS, 2020, 11 (02) : 535 - 577
  • [46] Direct likelihood inference and sensitivity analysis for competing risks regression with missing causes of failure
    Moreno-Betancur, Margarita
    Rey, Gregoire
    Latouche, Aurelien
    [J]. BIOMETRICS, 2015, 71 (02) : 498 - 507
  • [47] A DISTRIBUTION FREE TEST FOR THE EQUALITY OF FAILURE RATES DUE TO 2 COMPETING RISKS
    BAGAI, I
    DESHPANDE, JV
    KOCHAR, SC
    [J]. COMMUNICATIONS IN STATISTICS-THEORY AND METHODS, 1989, 18 (01) : 107 - 120
  • [48] Semiparametric regression and risk prediction with competing risks data under missing cause of failure
    Giorgos Bakoyannis
    Ying Zhang
    Constantin T. Yiannoutsos
    [J]. Lifetime Data Analysis, 2020, 26 : 659 - 684
  • [49] Nonparametric estimation of cumulative incidence functions for competing risks data with missing cause of failure
    Effraimidis, Georgios
    Dahl, Christian M.
    [J]. STATISTICS & PROBABILITY LETTERS, 2014, 89 : 1 - 7
  • [50] Analysis of competing risks data with missing cause of failure under additive hazards model
    Lu, Wenbin
    Liang, Yu
    [J]. STATISTICA SINICA, 2008, 18 (01) : 219 - 234
12345