Evidence map›Paper›PMID 36407675›Full record

ArticleJournal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America2022

Smoothing splines approximation using Hilbert curve basis selection.

Cheng Meng, Jun Yu, Yongkai Chen, Wenxuan Zhong, Ping Ma

Open access · greenAbstract 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, 2022. 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
2.4field-weighted citation impact, top 10% of its field
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, 13 citations in OpenAlex.

  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

5 authors at 3 institutions in 2 countries.

Cheng MengInstitute of Statistics and Big Data, Renmin University of China.
Jun YuSchool of Mathematics and Statistics, Beijing Institute of Technology.
Yongkai ChenDepartment of Statistics, University of Georgia.
Wenxuan ZhongDepartment of Statistics, University of Georgia.
Ping MaDepartment of Statistics, University of Georgia.
University of Georgia · USBeijing Institute of Technology · CNRenmin University of China · CN

Funding

Deciphering the Regulatory Role of Small RNAs on Alternative Splicing R01GM122080 · NIGMS · UNIVERSITY OF GEORGIA · PI MA, PING · 2016 to 2019
$1.3M
NIGMS NIH HHS R01 GM122080
6 · The paper itself

Abstract

Smoothing splines have been used pervasively in nonparametric regressions. However, the computational burden of smoothing splines is significant when the sample size

Indexed as

Nonparametric regressionPenalized least squaresSpace-filling curveSubsampling

Identifiers

PMID36407675
PMCPMC9674117
OpenAlexW3214583003

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.