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    题名: Regression Analysis of Multivariate Interval-Censored FailureTime Data with Application to Tumorigenicity Experiments
    作者: Chen, Man-Hua;Tong, Xingwei;Sun, Jian-guo
    贡献者: 淡江大學統計學系
    关键词: Additive hazards model;Interval-censoring;Marginal approach;Medical follow-up studies
    日期: 2008-06
    上传时间: 2013-05-31 11:38:25 (UTC+8)
    出版者: Weinheim: Wiley - VCH Verlag GmbH & Co. KGaA
    摘要: This paper discusses multivariate interval-censored failure time data that occur when there exist several correlated survival times of interest and only interval-censored data are available for each survival time. Such data occur in many fields. One is tumorigenicity experiments, which usually concern different types of tumors, tumors occurring in different locations of animals, or together. For regression analysis of such data, we develop a marginal inference approach using the additive hazards model and apply it to a set of bivariate interval-censored data arising from a tumorigenicity experiment. Simulation studies are conducted for the evaluation of the presented approach and suggest that the approach performs well for practical situations.
    關聯: Biometrical Journal 50(3), pp.364-374
    DOI: 10.1002/bimj.200710418
    显示于类别:[統計學系暨研究所] 期刊論文

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