A New Proof of FDR Control Based on Forward Filtration

IF 0.1 Q4 STATISTICS & PROBABILITY
A. Ehyaei, Kasra Alishahi, A. Shojaei
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引用次数: 0

Abstract

For multiple testing problems, Benjamini and Hochberg (1995) proposed the false discovery rate (FDR) as an alternative to the family-wise error rate (FWER). Since then, researchers have provided many proofs to control the FDR under different assumptions. Storey et al. (2004) showed that the rejection threshold of a BH step-up procedure is a stopping time with respect to the reverse filtration generated by the pvalues and proposed a new proof based on the martingale theory. Following this work, martingale methods have been widely used to establish FDR control in various settings, but have been primarily applied to reverse filtration only. However, forward filtration can be more amenable for generalized and adaptive FDR controlling procedures. In this paper, we present a new proof, based on forward filtration, for step-down FDR controlling procedures that start from small p-values and update the rejection regions as larger p-values are observed.
基于前向滤波的FDR控制新证明
对于多个测试问题,Benjamini和Hochberg(1995)提出了错误发现率(FDR)作为家庭错误率(FWER)的替代方案。从那时起,研究人员提供了许多证据来控制不同假设下的FDR。Storey等人(2004)证明了BH升压过程的拒绝阈值是关于由p值产生的反向滤波的停止时间,并基于鞅理论提出了一个新的证明。在这项工作之后,鞅方法已被广泛用于在各种设置中建立FDR控制,但主要仅应用于反向过滤。然而,正向滤波可以更适用于广义和自适应FDR控制程序。在本文中,我们提出了一种基于前向滤波的降压FDR控制程序的新证明,该程序从小p值开始,并在观察到较大p值时更新抑制区域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
1.50
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0.00%
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