Evidence map›Paper›PMID 38540403›Full record

ArticleGenes2024

Computing Power and Sample Size for the False Discovery Rate in Multiple Applications.

Yonghui Ni, Anna Eames Seffernick, Arzu Onar-Thomas, Stanley B Pounds

Abstract read
In one paragraph

Article in Genes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Yonghui NiDepartment of Biostatistics, St. Jude Children's Research Hospital, Memphis, TN 38105, USA.
Anna Eames SeffernickDepartment of Biostatistics, St. Jude Children's Research Hospital, Memphis, TN 38105, USA.
Arzu Onar-ThomasDepartment of Biostatistics, St. Jude Children's Research Hospital, Memphis, TN 38105, USA.
Stanley B PoundsDepartment of Biostatistics, St. Jude Children's Research Hospital, Memphis, TN 38105, USA.

Funding

Childhood Hematological Malignancies Training ProgramT32CA236748 · NCI · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI Charles G Mullighan · 2019 to 2026
$2.0M
American Lebanese Syrian Associated Charities St. Jude EmployeeNCI NIH HHS T32 CA236748
6 · The paper itself

Abstract

The false discovery rate (FDR) is a widely used metric of statistical significance for genomic data analyses that involve multiple hypothesis testing. Power and sample size considerations are important in planning studies that perform these types of genomic data analyses. Here, we propose a three-rectangle approximation of a

Indexed as

AlgorithmsSoftwareGenomicsResearch DesignSample Sizefalse discovery ratemultiple testingpowerproportion of true null hypothesessample size

Identifiers

PMID38540403
PMCPMC10970028

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.