期刊論文
| 學年 | 104 |
|---|---|
| 學期 | 1 |
| 出版（發表）日期 | 2015-12-01 |
| 作品名稱 | Detecting misspecification in the random-effects structure of cumulative logit models |
| 作品名稱（其他語言） | |
| 著者 | Kuo-Chin Lin; Yi-Ju Chen |
| 單位 | |
| 出版者 | |
| 著錄名稱、卷期、頁數 | Computational Statistics & Data Analysis 92, pp.126-133 |
| 摘要 | A common approach to analyzing longitudinal ordinal data is to apply generalized linear mixed models (GLMMs). The efficiency and validity of inference for parameters are affected by the random-effects distribution in GLMMs. A proposed test is developed based on the observed data and a reconstructed data set induced from the observed data for diagnosing the random-effects misspecification in cumulative logit models for longitudinal ordinal data, extending the idea presented by Huang (2009) for longitudinal binary data. The proposed test statistic has the quadratic form of the difference of maximum likelihood estimators between the observed data and the reconstructed data, and it follows a limiting chi-squared distribution when the model is correctly specified. The simulation studies are conducted to assess the performance of the proposed test, and a clinical trial example demonstrates the application of the proposed test. |
| 關鍵字 | Generalized linear mixed models;Longitudinal ordinal data;Misspecification;Reconstructed data |
| 語言 | en |
| ISSN | 1872-7352;0167-9473 |
| 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 | NLD |
| 公開徵稿 | |
| 出版型式 | ,電子版,紙本 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/107071 ) |