Evidence map›Paper›PMID 40979502›Full record

ArticleStat (International Statistical Institute)2024

Accelerating Resident Research within Quantitative Collaboration Units in Academic Healthcare.

Clemontina A Davenport, Hui-Jie Lee, Quentin Ruiz-Esparza, Nicholas Janes, Megan L Neely, Lacey Rende, Gregory P Samsa, Kelsey Stilley, Jesse D Troy, Tracy Truong and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Stat (International Statistical Institute), 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

12 authors.

Clemontina A DavenportDepartment of Biostatistics and Bioinformatics, Duke University, Durham, NC, USA.
Hui-Jie LeeDepartment of Biostatistics and Bioinformatics, Duke University, Durham, NC, USA.
Quentin Ruiz-EsparzaDuke Learning Innovation, Duke University, Durham, NC, USA.
Nicholas JanesDuke Learning Innovation, Duke University, Durham, NC, USA.
Megan L NeelyDepartment of Biostatistics and Bioinformatics, Duke University, Durham, NC, USA.
Lacey RendeDepartment of Biostatistics and Bioinformatics, Duke University, Durham, NC, USA.
Gregory P SamsaDepartment of Biostatistics and Bioinformatics, Duke University, Durham, NC, USA.
Kelsey StilleyDepartment of Pharmacy, Duke University, Durham, NC, USA.
Jesse D TroyDepartment of Biostatistics and Bioinformatics, Duke University, Durham, NC, USA.
Tracy TruongDepartment of Biostatistics and Bioinformatics, Duke University, Durham, NC, USA.
Steven C GrambowDepartment of Biostatistics and Bioinformatics, Duke University, Durham, NC, USA.
Gina-Maria PomannDepartment of Biostatistics and Bioinformatics, Duke University, Durham, NC, USA.

Funding

Support for QA/QC for Prior Approval ProcessUL1TR002553 · NCATS · DUKE UNIVERSITY · PI LI, JENNIFER S, MCNAMARA, JAMES O. · 2018 to 2023
$58.5M
NCATS NIH HHS UL1 TR002553
6 · The paper itself

Abstract

With increased access to biomedical and electronic health records data and the complexity of research questions, individuals in residency programs who aim to conduct research require specialized educational programs and biostatistics support. Biostatistics collaboration units in academic health centers often work with residents to conduct data-intensive research. These units face numerous challenges related to providing training in statistical literacy and collaborating on resident-led research within very restricted timelines. Since 2019, the Duke Biostatistics, Epidemiology, and Research Design (BERD) Methods Core has supported over 247 resident-led projects by developing tools and resources to address these challenges. This manuscript presents novel processes and training materials that other institutions can use to help biostatistics collaboration units effectively support resident training programs. We provide a framework to support the development of collaborative teams, along with specialized training materials for residents who collaborate with these teams.

Indexed as

biostatistics collaborationcollaboration resourcescollaborative processResident-led researchresident trainingteam science

Identifiers

PMID40979502
PMCPMC12448676

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.