Evidence map›Paper›PMID 36937572›Full record

ArticleStat2022

Experiential Learning Methods for Biostatistics Students: A Model for Embedding Student Interns in Academic Health Centers.

Gina-Maria Pomann, L Ebony Boulware, Cliburn Chan, Steven C Grambow, Alexandra L Hanlon, Megan L Neely, Sarah B Peskoe, Greg Samsa, Jesse D Troy, Lexie Zidanyue Yang and 1 more

Open access · hybridFull text read
In one paragraph

Article in Stat, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 39% of its field
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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

11 authors at 2 institutions in 1 country.

Gina-Maria PomannDepartment of Biostatistics and Bioinformatics, Duke University, Durham NC.
L Ebony BoulwareDuke Clinical and Translational Science Institute, Duke University, Durham NC.
Cliburn ChanDepartment of Biostatistics and Bioinformatics, Duke University, Durham NC.
Steven C GrambowDepartment of Biostatistics and Bioinformatics, Duke University, Durham NC.
Alexandra L HanlonCenter for Biostatistics and Health Data Science, Department of Statistics, Virginia Tech, Roanoke, VA, USA.
Megan L NeelyDepartment of Biostatistics and Bioinformatics, Duke University, Durham NC.
Sarah B PeskoeDepartment of Biostatistics and Bioinformatics, Duke University, Durham NC.
Greg SamsaDepartment of Biostatistics and Bioinformatics, Duke University, Durham NC.
Jesse D TroyDepartment of Biostatistics and Bioinformatics, Duke University, Durham NC.
Lexie Zidanyue YangDepartment of Biostatistics and Bioinformatics, Duke University, Durham NC.
Samantha M ThomasDepartment of Biostatistics and Bioinformatics, Duke University, Durham NC.
Duke University · USJefferson College of Health Sciences · US

Funding

Support for QA/QC for Prior Approval ProcessUL1TR002553 · NCATS · DUKE UNIVERSITY · PI LI, JENNIFER S, MCNAMARA, JAMES O. · 2018 to 2023
$58.5M
Social and Behavioral Sciences CoreP30AI064518 · NIAID · DUKE UNIVERSITY · PI Nwora Lance Okeke · 2005 to 2026
$50.5M
Quantitative Methods for HIV/AIDS ResearchR25AI140495 · NIAID · DUKE UNIVERSITY · PI Cliburn C Chan, Gina-Maria Pomann · 2018 to 2026
$2.8M
NCATS NIH HHS UL1 TR002553NIAID NIH HHS P30 AI064518NIAID NIH HHS R25 AI140495
6 · The paper itself

Abstract

This manuscript describes an experiential learning program for future collaborative biostatisticians (CBs) developed within an academic medical center. The program is a collaborative effort between the Biostatistics, Epidemiology, and Research Design (BERD) Methods Core and the Master of Biostatistics (MB) program, both housed in the Department of Biostatistics and Bioinformatics at Duke University School of Medicine and supported in partnership with the Duke Clinical and Translational Science Institute. To date, the BERD Core Training and Internship Program (BCTIP) has formally trained over 80 students to work on collaborative teams that are integrated throughout the Duke School of Medicine. This manuscript focuses on the setting for the training program, the experiential learning model on which it is based, the structure of the program, and lessons learned to date.

Indexed as

Collaboration and ConsultationCollaborative BiostatisticianExperiential LearningInternship ModelTraining Biostatisticians

Identifiers

PMID36937572
PMCPMC10022448
OpenAlexW4295131986

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read4
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.