ArticleJournal of the American Statistical Association2023
Filtering the rejection set while preserving false discovery rate control.
Article in Journal of the American Statistical Association, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
11 citing papers in PubMed.
- Controlling FDR in selecting group-level simultaneous signals from multiple data sources with application to the National COVID Collaborative Cohort data.Journal of applied statistics · 2026Article
- Tree-based differential testing using inferential uncertainty for RNA-seq.Genome research · 2025Article
- MicroRNA profiling reveals novel biomarkers for cardiovascular and psychological health in plateau psycho CVD.Scientific reports · 2025Article
- Tree-based differential testing using inferential uncertainty for RNA-Seq.bioRxiv : the preprint server for biology · 2025Article
- Catch me if you can: signal localization with knockoffJournal of the Royal Statistical Society. Series B, Statistical methodology · 2025Article
- Controlling the False Split Rate in Tree-Based Aggregation.Journal of the American Statistical Association · 2025Article
- Exploring the Interplay between the Hologenome and Complex Traits in Bovine and Porcine Animals Using Genome-Wide Association Analysis.International journal of molecular sciences · 2024Article
- Transfer Learning in Genome-Wide Association Studies with Knockoffs.Sankhya. Series B (2008) · 2022Article
- Article
- False discovery rate control in genome-wide association studies with population structure.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Inflated false discovery rate due to volcano plots: problem and solutions.Briefings in bioinformatics · 2021Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Scientific hypotheses in a variety of applications have domain-specific structures, such as the tree structure of the International Classification of Diseases (ICD), the directed acyclic graph structure of the Gene Ontology (GO), or the spatial structure in genome-wide association studies. In the context of multiple testing, the resulting relationships among hypotheses can create redundancies among rejections that hinder interpretability. This leads to the practice of filtering rejection sets obtained from multiple testing procedures, which may in turn invalidate their inferential guarantees. We propose Focused BH, a simple, flexible, and principled methodology to adjust for the application of any pre-specified filter. We prove that Focused BH controls the false discovery rate under various conditions, including when the filter satisfies an intuitive monotonicity property and the
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.