English  |  正體中文  |  简体中文  |  Items with full text/Total items : 49279/83828 (59%)
Visitors : 7146933      Online Users : 60
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    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

    Files in This Item:

    File SizeFormat
    index.html0KbHTML25View/Open

    All items in 機構典藏 are protected by copyright, with all rights reserved.


    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - Feedback