Evidence map›Paper›PMID 39211031›Full record

ArticleJournal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America2024

Accurate and Ultra-Efficient

Wenjia Wang, Yusi Fang, Chung Chang, George C Tseng

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Wenjia WangDepartment of Biostatistics, University of Pittsburgh.
Yusi FangDepartment of Biostatistics, University of Pittsburgh.
Chung ChangDepartment of Applied Mathematics, National Sun Yat-sen University.
George C TsengDepartment of Biostatistics, University of Pittsburgh.

Funding

Disease subtyping guided by clinical phenotype for precision medicineR01LM014142 · NLM · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI George C. Tseng · 2023 to 2026
$1.2M
NLM NIH HHS R01 LM014142
6 · The paper itself

Abstract

In modern data science, higher criticism (HC) method is effective for detecting rare and weak signals. The computation, however, has long been an issue when the number of

Indexed as

analytical approximationasymptotic rare and weak modelhigher criticismimportance samplingp-value computation

Identifiers

PMID39211031
PMCPMC11350355

What OpenQuestion holds

Textmetadata
LicenceTDM
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.