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 en
ISSN 1881-803X
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 JPN
公開徵稿
出版型式 紙本
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