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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/92545

    Title: A linear transformation model for multivariate interval-censored failure time data
    Other Titles: 多重區間設限資料之線性轉換模型分析方法
    Authors: Chen, Man-Hua;Tong, Xingwei;Zhu, Liang
    Contributors: 淡江大學統計學系
    Keywords: 區間設限;線性轉換模型;多變量設限資料;Interval-censoring;linear transformation model;multivariate failure time data;MSC 2010: Primary 62N02;secondary 62P10
    Date: 2013-06
    Issue Date: 2013-10-18 09:04:28 (UTC+8)
    Publisher: Hoboken: Wiley-Blackwell Publishing, Inc.
    Abstract: This paper discusses multivariate interval-censored failure time data observed when several correlated survival times of interest exist and only interval censoring is available for each survival time. Such data occur in many fields, for instance, studies of the development of physical symptoms or diseases in several organ systems. A marginal inference approach was used to create a linear transformation model and applied to bivariate interval-censored data arising from a diabetic retinopathy study and an AIDS study. The results of simulation studies that were conducted to evaluate the performance of the presented approach suggest that it performs well.
    Relation: The Canadian Journal of Statistics 41(2), pp.275–290
    DOI: 10.1002/cjs.11177
    Appears in Collections:[統計學系暨研究所] 期刊論文

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