Evidence map›Paper›PMID 39328784›Full record

ArticleJournal of the American Statistical Association2024

Graphical Model Inference with Erosely Measured Data.

Lili Zheng, Genevera I Allen

Abstract read
In one paragraph

Article in Journal of the American Statistical Association, 2024. 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

2 authors.

Lili ZhengDepartment of Electrical and Computer Engineering, Rice University.
Genevera I AllenDepartment of Electrical and Computer Engineering, Rice University.

Funding

Graphical Models from Partially Observed Interactions with Biomedical ApplicationsR01GM140468 · NIGMS · RICE UNIVERSITY · PI ALLEN, GENEVERA IRENE · 2020 to 2022
$600k
NIGMS NIH HHS R01 GM140468
6 · The paper itself

Abstract

In this paper, we investigate the Gaussian graphical model inference problem in a novel setting that we call

Indexed as

FDR controlgraph selectiongraph structure inferencemissing dataUneven measurements

Identifiers

PMID39328784
PMCPMC11424035

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.