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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/52078

    Title: 半母數迴歸模型對多變量區間設限資料分析
    Other Titles: A semiparametric regression model of multivariate interval-censored data
    Authors: 林建宏;Lin, Chien-hung
    Contributors: 淡江大學統計學系碩士班
    陳蔓樺;Chen, Man-hua
    Keywords: 多變量區間設限;比例風險脆弱模型;EM演算法;Multivariate interval-censored;Propotional hazard frailty model;EM algorithm
    Date: 2010
    Issue Date: 2010-09-23 16:41:25 (UTC+8)
    Abstract: 右設限失效時間資料的分析方法在過去三十年間已發展的非常完善,隨著發展生物醫學研究,在醫療後續研究中一般所遇到的資料為區間設限資料,例如我們對病患定期調查或觀察,因此真實的失效時間也許未能準確觀察,我們只知道會在某些時間區間當中。
    另一個在分析上所遇到的問題為多變量區間設限失效時間資料,我們所感興趣的失效時間不只一個,且每個失效時間中有相關性的存在。本篇論文考慮使用脆弱模型(frailty model)分析多變量區間設限失效時間資料,使用EM演算法(EM algorithm)估計其迴歸參數,並透過模擬驗證之。
    A voluminous literature on right-censored failure time data has been developed very well in the pust 30 years. Due to advances in biomedical research, interval censoring has become common in medical follow-up studies. For example, each study subject is observed periodically, thus the observed failure time falls into a time period.
    Another problems is multivariate interval-censored failure time data. Multivariate failure time data occur when one is interested in several related failure times. This thesis considers regression analysis of multivariate interval-censored failure time data using by the random effect
    approach. For estimation, an Expectation Maximization (EM) algorithm is developed and simulation studies suggest that the frailty model approach.
    Appears in Collections:[Graduate Institute & Department of Statistics] Thesis

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