A non-parametric test for independence of time to failure and cause of failure for discrete competing risks data
Article Type
Research Article
Publication Title
Statistics
Abstract
Competing risks data with discrete lifetime come up in practice. However, only limited literature exists for such data. In this paper, we propose a non-parametric test based on U-statistics for testing independence of time to failure and cause of failure of competing risks data when the lifetime is a discrete random variable. Asymptotic distribution of the proposed test statistic is derived. An extensive Monte Carlo simulation study is conducted to assess the finite sample performance of the proposed test. The flexibility of the testing procedure is illustrated using real data sets on oral cancer patients and drug-exposed pregnancies.
First Page
1107
Last Page
1122
DOI
10.1080/02331888.2021.1975712
Publication Date
1-1-2021
Recommended Citation
Sreedevi, E. P.; Kattumannil, Sudheesh K.; and Dewan, Isha, "A non-parametric test for independence of time to failure and cause of failure for discrete competing risks data" (2021). Journal Articles. 2165.
https://digitalcommons.isical.ac.in/journal-articles/2165