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    jsp.display-item.identifier=請使用永久網址來引用或連結此文件: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/41459

    题名: Residuals analysis of the generalized linear models for longitudinal data
    作者: Chang, Y. C.
    贡献者: 淡江大學數學學系
    关键词: article;biostatistics;clinical study;correlation function;longitudinal study;medical research;statistical analysis;statistical model;Adult;Aged;Aged, 80 and over;Diabetic Retinopathy;Female;Humans;Linear Models;Longitudinal Studies;Male;Meningeal Neoplasms;Meningioma;Middle Aged;Models, Biological;Mydriasis;Mydriatics;Pupil;Radiosurgery
    日期: 2000-05-01
    上传时间: 2013-08-08 14:44:11 (UTC+8)
    出版者: Chichester: John Wiley & Sons Ltd.
    摘要: The generalized estimation equation (GEE) method, one of the generalized linear models for longitudinal data, has been used widely in medical research. However, the related sensitivity analysis problem has not been explored intensively. One of the possible reasons for this was due to the correlated structure within the same subject. We showed that the conventional residuals plots for model diagnosis in longitudinal data could mislead a researcher into trusting the fitted model. A non-parametric method, named the Wald-Wolfowitz run test, was proposed to check the residuals plots both quantitatively and graphically. The rationale proposed in this paper is well illustrated with two real clinical studies in Taiwan.
    關聯: Statistics in Medicine 19(10), pp.1277-1293
    DOI: 10.1002/(SICI)1097-0258(20000530)19:103.0.CO;2-S
    显示于类别:[數學學系暨研究所] 期刊論文


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