ArticleSequential analysis2020
Sequential Tests of Multiple Hypotheses Controlling False Discovery and Nondiscovery Rates.
Article in Sequential analysis, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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
8 citing papers in PubMed.
- Multi-Stream Quickest Change Detection: Foundations and Recent Advances.Entropy (Basel, Switzerland) · 2026Review
- Genome-wide identification and expression analysis under selenium stress of glutaredoxin system genes in Cardamine hupingshanensis.BMC plant biology · 2026Article
- Stratum-specific serum metabolic reprogramming in Saanen goats with graded Brucella serological reactivity under natural exposure.Frontiers in veterinary science · 2026Article
- Screening and identification of versican as a sensitive biomarker and potential therapeutic target in basal cell carcinoma.International journal of medical sciences · 2025Article
- Steps to understanding diabetes kidney disease: a focus on metabolomics.The Korean journal of internal medicine · 2024Review
- Current State and Future Perspectives on Personalized Metabolomics.Metabolites · 2023Review
- Challenges in Metabolomics-Based Tests, Biomarkers Revealed by Metabolomic Analysis, and the Promise of the Application of Metabolomics in Precision Medicine.International journal of molecular sciences · 2022Review
- Sequential Tests of Multiple Hypotheses Controlling Type I and II Familywise Error Rates.Journal of statistical planning and inference · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
We propose a general and flexible procedure for testing multiple hypotheses about sequential (or streaming) data that simultaneously controls both the false discovery rate (FDR) and false nondiscovery rate (FNR) under minimal assumptions about the data streams which may differ in distribution, dimension, and be dependent. All that is needed is a test statistic for each data stream that controls its conventional type I and II error probabilities, and no information or assumptions are required about the joint distribution of the statistics or data streams. The procedure can be used with sequential, group sequential, truncated, or other sampling schemes. The procedure is a natural extension of Benjamini and Hochberg's (1995) widely-used fixed sample size procedure to the domain of sequential data, with the added benefit of simultaneous FDR and FNR control that sequential sampling affords. We prove the procedure's error control and give some tips for implementation in commonly encountered testing situations.
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What OpenQuestion holds
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.