Evidence map›Paper›PMID 39935679›Full record

ArticleJournal of the Royal Statistical Society. Series B, Statistical methodology2025

Catch me if you can: signal localization with knockoff

Paula Gablenz, Chiara Sabatti

Abstract read
In one paragraph

Article in Journal of the Royal Statistical Society. Series B, Statistical methodology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

2 authors.

Paula GablenzDepartment of Statistics, Stanford University, 390 Jane Stanford Way, Stanford, CA 94305-4020  USA.ORCID https://orcid.org/0009-0002-2829-4701
Chiara SabattiDepartment of Statistics, Stanford University, 390 Jane Stanford Way, Stanford, CA 94305-4020  USA.ORCID https://orcid.org/0000-0001-5829-9058

Funding

The pursuit of genetic causal mechanismsR56HG010812 · NHGRI · STANFORD UNIVERSITY · PI SABATTI, CHIARA · 2021 to 2022
$875k
NHGRI NIH HHS R56 HG010812
6 · The paper itself

Abstract

We consider problems where many, somewhat redundant, hypotheses are tested and we are interested in reporting the most precise rejections, with false discovery rate (FDR) control. This is the case, for example, when researchers are interested both in individual hypotheses as well as group hypotheses corresponding to intersections of sets of the original hypotheses, at several resolution levels. A concrete application is in genome-wide association studies, where, depending on the signal strengths, it might be possible to resolve the influence of individual genetic variants on a phenotype with greater or lower precision. To adapt to the unknown signal strength, analyses are conducted at multiple resolutions and researchers are most interested in the more precise discoveries. Assuring FDR control on the reported findings with these adaptive searches is, however, often impossible. To design a multiple comparison procedure that allows for an adaptive choice of resolution with FDR control, we leverage

Indexed as

false discovery rategenome-wide association studiesgrouped hypothesesknockoffsmultiple resolutionsmultiple testing

Identifiers

PMID39935679
PMCPMC11809227

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.