Evidence map›Paper›PMID 38404948›Full record

ArticleJournal of the American Statistical Association2023

Comments on "A Scale-Free Approach for False Discovery Rate Control in Generalized Linear Models".

Sai Li, Yisha Yao, Cun-Hui Zhang

Abstract read
In one paragraph

Article in Journal of the American Statistical Association, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Simultaneous inference for generalized linear models with unmeasured confounders.Journal of the American Statistical Association · 2025
    Article
  3. Article
  4. Article
  5. AUGMENTED DOUBLY ROBUST POST-IMPUTATION INFERENCE FOR PROTEOMIC DATA.bioRxiv : the preprint server for biology · 2025
    Article
  6. A newStatistics and computing · 2025
    Article
  7. Review
  8. Article
  9. 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

3 authors.

Sai LiAssociate Professor, Institute of Statistics and Big Data, Renmin University of China, China.
Yisha YaoPostdoctoral Associate, Department of Biostatistics, Yale University, New Haven, Connecticut.
Cun-Hui ZhangDistinguished Professor, Department of Statistics, Rutgers University, Piscataway, NJ.

Funding

Analysis of Big Data Squared in Biomedical StudiesR01MH116527 · NIMH · YALE UNIVERSITY · PI ZHANG, HEPING · 2018 to 2022
$2.3M
Analysis of Genomic and Complex DataR01HG010171 · NHGRI · YALE UNIVERSITY · PI ZHANG, HEPING · 2019 to 2022
$1.4M
NHGRI NIH HHS R01 HG010171NIMH NIH HHS R01 MH116527
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Identifiers

PMID38404948
PMCPMC10888134

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.