Evidence map›Paper›PMID 36172297›Full record

ArticleJournal of the American Statistical Association2022

Covariate Information Number for Feature Screening in Ultrahigh-Dimensional Supervised Problems.

Debmalya Nandy, Francesca Chiaromonte, Runze Li

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of the American Statistical Association, 2022. 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

3 authors.

Debmalya NandyDepartment of Biostatistics & Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA.
Francesca ChiaromonteDepartment of Statistics, Penn State University, University Park, PA 16802, USA.
Runze LiDepartment of Statistics, Penn State University, University Park, PA 16802, USA.

Funding

Regional Brain Manganese Accumulation and Functional Consequences in WeldersR01ES019672 · NIEHS · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI HUANG, XUEMEI · 2011 to 2021
$5.9M
Developing Methodology to examine causal mediation of Time-Varying Effects in Smoking Cessation TreatmentsR01CA229542 · NCI · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI COFFMAN, DONNA LYNN · 2018 to 2021
$1.3M
The moderating role of smoking exposure in the relationship between the nicotinic acetylcholine receptor gene cluster and nicotine dependenceR21CA226300 · NCI · PENNSYLVANIA STATE UNIVERSITY, THE · PI DIERKER, LISA C, KAMENS, HELEN M · 2020 to 2021
$427k
NCI NIH HHS R01 CA229542NCI NIH HHS R21 CA226300NIEHS NIH HHS R01 ES019672
6 · The paper itself

Abstract

Contemporary high-throughput experimental and surveying techniques give rise to ultrahigh-dimensional supervised problems with sparse signals; that is, a limited number of observations (

Indexed as

Affymetrix GeneChip Rat Genome 230 2.0 ArrayFisher informationModel-freeSupervised problemsSure independence screeningUltrahigh dimension

Identifiers

PMID36172297
PMCPMC9512254

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.