教師資料查詢 | 類別: 期刊論文 | 教師: 陳怡如 Chen Yi-ju (瀏覽個人網頁)

標題:Detecting misspecification in the random-effects structure of cumulative logit models
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
語言英文
ISSN1872-7352;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
國別荷蘭
公開徵稿
出版型式,電子版,紙本
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