| 篇名/題名： | Assessment of Modelling Longitudinal Binary Data Based on Graphical Methods |
| 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. |
| 類型： | 期刊論文 |
| 著作語言： | 英文 |
| 關鍵詞： | GEE; Goodness-of-fit; Kernel smoothing; Local mean deviance plot; Longitudinal binary response; Marginal model plot. |
| 作者： | 作者：
林國欽、Yi-Ju Chen
|
| 學校系所： | 企業管理系 |
| 卷期： | Communications in Statistics-Theory and Methods；vol. 46 卷；period 7 期 |
| 頁碼： | 3426-3437 |
