Evidence map›Paper›PMID 40740611›Full record

ArticleStatistics in biosciences2024

Model Checking for Logistic Models with Study of Telehealth During the COVID-19 Pandemic Among PWH in DC.

Zeyu Yang, Hua Liang, Huiling Liu, Shannon Barth, Morgan Byrne, Elisabeth Andersen, Vinay Bhandaru, Amanda Castel

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Statistics in biosciences, 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

8 authors.

Zeyu YangDepartment of Statistics, George Washington University (GWU), Washington, DC, USA.
Hua LiangDepartment of Statistics, George Washington University (GWU), Washington, DC, USA.ORCID 0000-0001-8772-5984
Huiling LiuDepartment of Statistics, South China University of Technology, Guangzhou, China.
Shannon BarthDepartment of Epidemiology, GWU, Washington, DC, USA.
Morgan ByrneDepartment of Epidemiology, GWU, Washington, DC, USA.
Elisabeth AndersenDepartment of Epidemiology, GWU, Washington, DC, USA.
Vinay BhandaruBiostatistics Center, GWU, Washington, DC, USA.
Amanda CastelDepartment of Epidemiology, GWU, Washington, DC, USA.

Funding

Terry Beirn CPCRA Clinical Trials UnitUM1AI069503 · NIAID · GEORGE WASHINGTON UNIVERSITY · PI KAN, VIRGINIA · 2012 to 2020
$38.5M
The DC Cohort: A Longitudinal Population-Based Cohort Study of People Living with HIV in Washington, DCR24AI152598 · NIAID · GEORGE WASHINGTON UNIVERSITY · PI Amanda Derryck Castel, Marinella Temprosa · 2020 to 2026
$37.9M
NIAID NIH HHS R24 AI152598NIAID NIH HHS UM1 AI069503
6 · The paper itself

Abstract

We propose a projection-based test to check logistic regression models and apply the test to study telehealth utilization during the COVID-19 pandemic among patients with HIV. The test is shown to be consistent and can detect root-

Indexed as

Consistent testCOVID-19Goodness-of-fitLogistic regressionPerson living with HIV (PWH)ProjectionTelehealth

Identifiers

PMID40740611
PMCPMC12306521

What OpenQuestion holds

Textmetadata
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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.