計量生物学
Online ISSN : 2185-6494
Print ISSN : 0918-4430
ISSN-L : 0918-4430
総説
FDRの概説とそれを制御する多重検定法の比較
松田 眞一
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ジャーナル フリー

2008 年 29 巻 2 号 p. 125-139

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In this paper, we introduce the definition of FDR (False Discovery Rate), which gets a lot of attention as a new concept for considering multiplicity effect, and expound properties of it.
Furthermore, we enumerate multiple testing procedures that control FDR; Benjamini-Hochberg procedure (linear step-up procedure), Adaptive Benjamini-Hochberg procedure, Benjamini-Yekutieli procedure, Storey's procedure, two-stage linear step-up procedure, and Student-Newman-Kuels procedure. In addition, we review comparisons of them in order to consider which procedure is best to use.
As a result, we show the conservativeness of Benjamini-Hochberg procedure and the availability of two-stage linear step-up procedure by Monte-Carlo simulation, in the case of dependent test statistics.

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© 2008 日本計量生物学会
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