Two-sample comparison of current status data in the presence of a non-susceptible fraction

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초록

This study proposes a two-sample test statistic for evaluating the homogeneity of survival functions in the presence of a non-susceptible fraction under cross-sectional survival data composed of a single examination time and the event status. A linear rank statistic is proposed to simultaneously assess the homogeneity of both the incidence proportion and the latency distribution. Estimation of the null distribution is carried out through the EM algorithm combined with an adjusted pooled-adjacent-violators algorithm within a mixture cure modeling framework. The performance of the proposed procedures is investigated through extensive simulation studies and an IOL(Intraocular lenses) calcification data set is analyzed as a real data example.

키워드

bounded cumulative model; current status data; EM-algorithm; linear rank; mixture cure rate model; PAVA; MIXTURE MODEL; SURVIVAL-DATA; CURE; TESTS
제목
Two-sample comparison of current status data in the presence of a non-susceptible fraction
저자
Kim, Yang-Jin
DOI
10.29220/CSAM.2026.33.3.389
발행일
2026-05
유형
Article
저널명
Communications for Statistical Applications and Methods
권
33
호
3
페이지
389 ~ 400