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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/90193


    Title: Assessment of Various FDR Procedures
    Authors: Kao, Tzu-Hui;Chen, Yi-Ju;Lin, Kuo-Chin
    Contributors: 淡江大學統計學系
    Keywords: FDR;Multiple testing;Power;Type I error rate
    Date: 2011-11
    Issue Date: 2013-06-04 16:35:53 (UTC+8)
    Publisher: ICIC International
    Abstract: 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.
    Relation: ICIC Express Letters 5(11), pp.4007-4012
    Appears in Collections:[統計學系暨研究所] 期刊論文

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