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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/69232

    Title: Regression Analysis of Multivariate Interval-Censored FailureTime Data with Application to Tumorigenicity Experiments
    Authors: Chen, Man-Hua;Tong, Xingwei;Sun, Jian-guo
    Contributors: 淡江大學統計學系
    Keywords: Additive hazards model;Interval-censoring;Marginal approach;Medical follow-up studies
    Date: 2008-06
    Issue Date: 2013-05-31 11:38:25 (UTC+8)
    Publisher: Weinheim: Wiley - VCH Verlag GmbH & Co. KGaA
    Abstract: 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.
    Relation: Biometrical Journal 50(3), pp.364-374
    DOI: 10.1002/bimj.200710418
    Appears in Collections:[統計學系暨研究所] 期刊論文

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