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:Group Sequential Analysis of Incomplete Longitudinal Ordinal Data
學年98
學期1
出版(發表)日期2009/12/01
作品名稱Group Sequential Analysis of Incomplete Longitudinal Ordinal Data
作品名稱(其他語言)
著者Chen, Yi-Ju; Lin, Kuo-Chin; Lin, Jian-Jhih
單位淡江大學統計學系
出版者Kumamoto: ICIC International
著錄名稱、卷期、頁數ICIC Express Letters 3(4)pt.B, pp.1453-1458
摘要Group sequential methods have been used for a correct application of interim analysis, which is conducted to allow for possibly early termination of a alinical trial for ethical, economical and administrative considerations. The classical group sequential methods are applied for cross-sectional data and the boundaries can be easily computed due to the property of independent increment structure (IIS) between the successive test statistices. owever, it does not hold for longitudinal data. For analyzing longitudinal ordinal data, group sequential methods based on generalized linear mixed models (GLMM) and generalized estimating equations (GEE) models are proposed. The performance ofthese two approaches are compared with respect to their type I error rate and power bysimulation studies. The proposed methods are demonstrated by a real data set with ordinal responses.
關鍵字GEE model;GLMM;Group sequential method;Longitudinal ordinal data;Power;Type I rate
語言英文
ISSN1881-803X
期刊性質國外
收錄於EI
產學合作
通訊作者Chen, Yi-Ju; Lin, Kuo-Chin
審稿制度
國別日本
公開徵稿
出版型式紙本
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