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    题名: Analysis of Multivariate Interval Censoring by Diabetic Retinopathy Study
    作者: Chen, M.-H.;Chen, L.-C.;Lin, K.-H.;Tong, X.
    关键词: EM algorithm;Frailty models;Interval-censoring;Multivariate failure time data
    日期: 2014-01
    上传时间: 2018-03-29 12:10:53 (UTC+8)
    摘要: Multivariate failure time data are commonly encountered in biomedical research since each study subject may experience multiple events or because there exists clustering of subjects such that failure times within the same cluster are correlated. In this article, we use the frailty approach to catch the related survival variables and assume each event is a discrete analog as an interval of clinical examinations periodically. For estimation, an Expectation–Maximization (EM) algorithm is developed and is applied to the diabetic retinopathy study (DRS).
    關聯: Communications in Statistics – Simulation and Computation 43(7), p.1825-1835
    DOI: 10.1080/03610918.2012.745557
    显示于类别:[公共行政學系暨研究所] 期刊論文

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