教師資料查詢 | 類別: 期刊論文 | 教師: 陳怡如 Chen Yi-ju (瀏覽個人網頁)

標題:Assessment of Modelling Longitudinal Binary Data Based on Graphical Methods
學年105
學期2
出版(發表)日期2017/02/01
作品名稱Assessment of Modelling Longitudinal Binary Data Based on Graphical Methods
作品名稱(其他語言)
著者Lin, Kuo-Chin; Chen, Yi-Ju
單位
出版者
著錄名稱、卷期、頁數Communications in Statistics-Theory and Methods 46(7), p.3426–3437
摘要Longitudinal categorical data are commonly applied in a variety of fields and are frequently analyzed by generalized estimating equation (GEE) method. Prior to making further inference based on the GEE model, the assessment of model fit is crucial. Graphical techniques have long been in widespread use for assessing the model adequacy. We develop alternative graphical approaches utilizing plots of marginal model-checking condition and local mean deviance to assess the GEE model with logit link for longitudinal binary responses. The applications of the proposed procedures are illustrated through two longitudinal binary datasets.
關鍵字GEE;Goodness-of-fit;Kernel smoothing;Local mean deviance plot;Longitudinal binary response;Marginal model plot
語言英文(美國)
ISSN0361-0926;1532-415X
期刊性質國外
收錄於SCI;
產學合作
通訊作者Yi-Ju Chen
審稿制度
國別美國
公開徵稿
出版型式,電子版,紙本
相關連結
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