Online multi-layer FDR control

Fuente: arXiv
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Main Authors: Wang, Runqiu, Dai, Ran
Format: Preprint
Published: 2025
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author Wang, Runqiu
Dai, Ran
author_facet Wang, Runqiu
Dai, Ran
contents When hypotheses are tested in a stream and real-time decision-making is needed, online sequential hypothesis testing procedures are needed. Furthermore, these hypotheses are commonly partitioned into groups by their nature. For example, the RNA nanocapsules can be partitioned based on therapeutic nucleic acids (siRNAs) being used, as well as the delivery nanocapsules. When selecting effective RNA nanocapsules, simultaneous false discovery rate control at multiple partition levels is needed. In this paper, we develop hypothesis testing procedures which controls false discovery rate (FDR) simultaneously for multiple partitions of hypotheses in an online fashion. We provide rigorous proofs on their FDR or modified FDR (mFDR) control properties and use extensive simulations to demonstrate their performance.
format Preprint
id arxiv_https___arxiv_org_abs_2506_03406
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Online multi-layer FDR control
Wang, Runqiu
Dai, Ran
Methodology
When hypotheses are tested in a stream and real-time decision-making is needed, online sequential hypothesis testing procedures are needed. Furthermore, these hypotheses are commonly partitioned into groups by their nature. For example, the RNA nanocapsules can be partitioned based on therapeutic nucleic acids (siRNAs) being used, as well as the delivery nanocapsules. When selecting effective RNA nanocapsules, simultaneous false discovery rate control at multiple partition levels is needed. In this paper, we develop hypothesis testing procedures which controls false discovery rate (FDR) simultaneously for multiple partitions of hypotheses in an online fashion. We provide rigorous proofs on their FDR or modified FDR (mFDR) control properties and use extensive simulations to demonstrate their performance.
title Online multi-layer FDR control
topic Methodology
url https://arxiv.org/abs/2506.03406