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Accelerating Resident Research within Quantitative Collaboration Units in Academic Healthcare.

Publication ,  Journal Article
Davenport, CA; Lee, H-J; Ruiz-Esparza, Q; Janes, N; Neely, ML; Rende, L; Samsa, GP; Stilley, K; Troy, JD; Truong, T; Grambow, SC; Pomann, G-M
Published in: Stat (Int Stat Inst)
June 2024

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.

Duke Scholars

Published In

Stat (Int Stat Inst)

DOI

ISSN

2049-1573

Publication Date

June 2024

Volume

13

Issue

2

Location

United States

Related Subject Headings

  • 4905 Statistics
  • 0104 Statistics
 

Citation

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Chicago
ICMJE
MLA
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Davenport, C. A., Lee, H.-J., Ruiz-Esparza, Q., Janes, N., Neely, M. L., Rende, L., … Pomann, G.-M. (2024). Accelerating Resident Research within Quantitative Collaboration Units in Academic Healthcare. Stat (Int Stat Inst), 13(2). https://doi.org/10.1002/sta4.689
Davenport, Clemontina A., Hui-Jie Lee, Quentin Ruiz-Esparza, Nicholas Janes, Megan L. Neely, Lacey Rende, Gregory P. Samsa, et al. “Accelerating Resident Research within Quantitative Collaboration Units in Academic Healthcare.Stat (Int Stat Inst) 13, no. 2 (June 2024). https://doi.org/10.1002/sta4.689.
Davenport CA, Lee H-J, Ruiz-Esparza Q, Janes N, Neely ML, Rende L, et al. Accelerating Resident Research within Quantitative Collaboration Units in Academic Healthcare. Stat (Int Stat Inst). 2024 Jun;13(2).
Davenport, Clemontina A., et al. “Accelerating Resident Research within Quantitative Collaboration Units in Academic Healthcare.Stat (Int Stat Inst), vol. 13, no. 2, June 2024. Pubmed, doi:10.1002/sta4.689.
Davenport CA, Lee H-J, Ruiz-Esparza Q, Janes N, Neely ML, Rende L, Samsa GP, Stilley K, Troy JD, Truong T, Grambow SC, Pomann G-M. Accelerating Resident Research within Quantitative Collaboration Units in Academic Healthcare. Stat (Int Stat Inst). 2024 Jun;13(2).

Published In

Stat (Int Stat Inst)

DOI

ISSN

2049-1573

Publication Date

June 2024

Volume

13

Issue

2

Location

United States

Related Subject Headings

  • 4905 Statistics
  • 0104 Statistics