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Analysis of interval censored failure time data with competing risk
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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.
키워드
Competing risk; cumulative incidence function; interval censored data; nonparametric maximum likelihood; test statistics; MAXIMUM-LIKELIHOOD-ESTIMATION; CUMULATIVE INCIDENCE FUNCTION; NONPARAMETRIC-ESTIMATION; SURVIVAL-DATA; MODEL; INFERENCE; TESTS
- 제목
- Analysis of interval censored failure time data with competing risk
- 저자
- Kim, Yang-Jin
- 발행일
- 2016-12
- 유형
- Article
- 권
- 44
- 호
- 15
- 페이지
- 2778 ~ 2790