Evidence map›Paper›PMID 39532663›Full record

ArticleStatistics in medicine2024

Ye Tian, Henry Rusinek, Arjun V Masurkar, Yang Feng

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Statistics in medicine, 2024. 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.

Ye TianDepartment of Statistics, Columbia University, New York, NY.
Henry RusinekGrossman School of Medicine, New York University, New York, NY.
Arjun V MasurkarGrossman School of Medicine, New York University, New York, NY.
Yang FengDepartment of Biostatistics, School of Global Public Health, New York University, New York, NY.ORCID 0000-0001-7746-7598

Funding

Research Education ComponentP30AG066512 · NIA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI Mary Sherman Mittelman · 2020 to 2026
$28.4M
Multiclass classification under prioritized error control and specific error costs with applications to dementia classificationR21AG074205 · NIA · NEW YORK UNIVERSITY · PI FENG, YANG · 2021 to 2022
$438k
National Science Foundation DMS-2324489NIA NIH HHS P30 AG066512NIA NIH HHS R21 AG074205NIH HHS 1R21AG074205-01NIH HHS P30AG066512
6 · The paper itself

Abstract

High-dimensional multinomial regression models are very useful in practice but have received less research attention than logistic regression models, especially from the perspective of statistical inference. In this work, we analyze the estimation and prediction error of the contrast-based

Indexed as

Computer SimulationDementiaModels, StatisticalConfidence IntervalsDisease ProgressionHumansLogistic ModelsRegression AnalysisRisk Factorsdebiased Lassodementiahigh‐dimensional statisticshypothesis testingmodel misspecificationnon‐identically distributed datapenalized multinomial regression modelsstatistical inference

Identifiers

PMID39532663
PMCPMC12173429

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.