Evidence map›Paper›PMID 33071430›Full record

ArticleScandinavian journal of statistics, theory and applications2019

Hard thresholding regression.

Qiang Sun, Bai Jiang, Hongtu Zhu, Joseph G Ibrahim

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scandinavian journal of statistics, theory and applications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Qiang SunDepartment of Statistical Sciences, University of Toronto, Toronto, ON, Canada.ORCID 0000-0002-4182-6533
Bai JiangDepartment of Operations Research and Financial Engineering, Princeton University, Princeton, New Jersey.
Hongtu ZhuDepartment of Biostatistics, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
Joseph G IbrahimDepartment of Biostatistics, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.

Funding

Bayesian Approaches to Model Selection for Survival DataR01GM070335 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI IBRAHIM, JOSEPH G · 2003 to 2019
$4.0M
Statistical Analysis of Biomedical Imaging Data in Curved SpaceR01MH086633 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI IBRAHIM, JOSEPH G · 2010 to 2018
$2.9M
Analysis of Big Data Squared in Biomedical StudiesR01MH116527 · NIMH · YALE UNIVERSITY · PI ZHANG, HEPING · 2018 to 2022
$2.3M
NIGMS NIH HHS R01 GM070335NIMH NIH HHS R01 MH086633NIMH NIH HHS R01 MH116527
6 · The paper itself

Abstract

In this paper, we propose the hard thresholding regression (HTR) for estimating high-dimensional sparse linear regression models. HTR uses a two-stage convex algorithm to approximate the

Indexed as

best subset selectionLassolinear programmingoracle propertysparsityvariable selection

Identifiers

PMID33071430
PMCPMC7558802

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.