期刊論文
學年 | 99 |
---|---|
學期 | 2 |
出版(發表)日期 | 2011-06-01 |
作品名稱 | Goodness-of-Fit Tests for GEE Models with Longitudinal Ordinal Data Using a Global Odds Ratio |
作品名稱(其他語言) | |
著者 | Lin, Kuo-Chin; Chen, Yi-Ju; Liu, Chin-Yun |
單位 | 淡江大學統計學系 |
出版者 | Toroku: ICIC International |
著錄名稱、卷期、頁數 | ICIC Express Letters 5(6), pp.1821-1826 |
摘要 | Longitudinal ordinal responses are commonly analyzed in biomedical studies and are often fitted by the generalized estimating equations (GEE) approach. The assessment of model fit is an important issue for model inference. The purpose of this article is to develop goodness-of-fit tests for GEE models with longitudinal ordinal data based on residual analysis using the global odds ratio as a measure of association. Our method can be regarded as an alternative approach of Lin's tests (Computational Statistics and Data Analysis 2010; 54:1872-1880) by considering a variety of working correlation structures. Two tests related to Pearson chi-squared and unweighted sum of residual square are proposed and two propositions of the approximate expectation and variance of the proposed test statistics are derived. |
關鍵字 | GEE; Global odds ratio; Goodness-of-fit; Longitudinal ordinal data; Residual analysis |
語言 | en |
ISSN | 1881-803X |
期刊性質 | 國外 |
收錄於 | EI |
產學合作 | |
通訊作者 | Lin, Kuo-Chin |
審稿制度 | 是 |
國別 | JPN |
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/987654321/58476 ) |