期刊論文
| 學年 | 88 |
|---|---|
| 學期 | 2 |
| 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 | en |
| ISSN | 0277-6715 |
| 期刊性質 | 國外 |
| 收錄於 | SCI |
| 產學合作 | |
| 通訊作者 | |
| 審稿制度 | |
| 國別 | GBR |
| 公開徵稿 | |
| 出版型式 | 紙本 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/41459 ) |