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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/58476


    Title: Goodness-of-Fit Tests for GEE Models with Longitudinal Ordinal Data Using a Global Odds Ratio
    Authors: Lin, Kuo-Chin;Chen, Yi-Ju;Liu, Chin-Yun
    Contributors: 淡江大學統計學系
    Keywords: GEE;Global odds ratio;Goodness-of-fit;Longitudinal ordinal data;Residual analysis
    Date: 2011-06
    Issue Date: 2011-10-01 01:11:03 (UTC+8)
    Publisher: Toroku: ICIC International
    Abstract: 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.
    Relation: ICIC Express Letters 5(6), pp.1821-1826
    Appears in Collections:[統計學系暨研究所] 期刊論文

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