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    請使用永久網址來引用或連結此文件: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/41653

    題名: On estimating stratified PH model with single covariate from sparse data with application to brain metastases study
    作者: 張玉坤;Chang, Yue-cune;Perng, Cheng-hwang;Shiau, Cheng-ying
    貢獻者: 淡江大學數學學系
    關鍵詞: Cox PH model;Stratification;Sparse data;Brain metastases
    日期: 2000-09-05
    上傳時間: 2010-01-28
    出版者: Wiley-Blackwell
    摘要: The estimation of the unknown parameters in the stratified Cox's proportional hazard model is a typical example of the trade-off between bias and precision. The stratified partial likelihood estimator is unbiased when the number of strata is large but suffer from being unstable when many strata are non-informative about the unknown parameters. The estimator obtained by ignoring the heterogeneity among strata, on the other hand, increases the precision of estimates although pays the price for being biased. An estimating procedure, based on the asymptotic properties of the above two estimators, serving to compromise between bias and precision is proposed. Two examples in a radiosurgery for brain metastases study provide some interesting demonstration of such applications.
    關聯: Biometrical Journal 42(5), pp.569-581
    DOI: 10.1002/1521-4036(200009)42:5<569::AID-BIMJ569>3.0.CO;2-#
    顯示於類別:[數學學系暨研究所] 期刊論文


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