教師資料查詢 | 類別: 期刊論文 | 教師: 張玉坤 Yue-cune Chang (瀏覽個人網頁)

標題:Residuals analysis of the generalized linear models for longitudinal data
學年
學期
出版(發表)日期2000/05/01
作品名稱Residuals analysis of the generalized linear models for longitudinal data
作品名稱(其他語言)
著者Chang, Y. C.
單位淡江大學數學學系
出版者Chichester: John Wiley & Sons Ltd.
著錄名稱、卷期、頁數Statistics in Medicine 19(10), pp.1277-1293
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.
關鍵字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
語言英文
ISSN0277-6715
期刊性質國外
收錄於SCI
產學合作
通訊作者
審稿制度
國別英國
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