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:Assessment of Various FDR Procedures
學年100
學期1
出版(發表)日期2011/11/01
作品名稱Assessment of Various FDR Procedures
作品名稱(其他語言)
著者Kao, Tzu-Hui; Chen, Yi-Ju; Lin, Kuo-Chin
單位淡江大學統計學系
出版者ICIC International
著錄名稱、卷期、頁數ICIC Express Letters 5(11), pp.4007-4012
摘要In high dimensional studies, controlling the false discovery rate (FDR) has become an important issue where the multiplicity is a problem. Traditionally, familywise error rate (FWER) is used to control the overall type I error rate in the application of multiple comparisons. However, when many of null hypotheses are false, FWER tendsto be more conservative and has less power. To improve the drawbacks of FWER, an innovative approach based on FDR can be used. The purpose of this article is to compare the performance of current step-up and step-down procedures and detect the merits and flaws of these procedures. In addition, the comparison of those procedures is illustrated by an example.
關鍵字FDR; Multiple testing; Power; Type I error 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Kao, Tzu-Hui
審稿制度
國別日本
公開徵稿
出版型式紙本
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