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 en_US
ISSN 0361-0926;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 是
國別 USA
公開徵稿
出版型式 ,電子版,紙本
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機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/110467 )

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