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Analysis of interval censored failure time data with competing risk

Authors
Kim, Yang-Jin
Issue Date
Dec-2016
Publisher
TAYLOR & FRANCIS LTD
Keywords
Competing risk; cumulative incidence function; interval censored data; nonparametric maximum likelihood; test statistics
Citation
JOURNAL OF APPLIED STATISTICS, v.44, no.15, pp 2778 - 2790
Pages
13
Journal Title
JOURNAL OF APPLIED STATISTICS
Volume
44
Number
15
Start Page
2778
End Page
2790
URI
https://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/5079
DOI
10.1080/02664763.2016.1263609
ISSN
0266-4763
1360-0532
Abstract
In this article, we analyze interval censored failure time data with competing risks. A new estimator for the cumulative incidence function is derived using an approximate likelihood and a test statistic to compare two samples is then obtained by extending Sun's test statistic. Small sample properties of the proposed methods are examined by conducting simulations and a cohort dataset from AIDS patients is analyzed as a real example.
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