Goodness-of-Fit Tests for GEE Models with Longitudinal Ordinal Data Using a Global Odds Ratio
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
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