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Experiential learning methods for biostatistics students: A model for embedding student interns in academic health centers
This manuscript describes an experiential learning program for future collaborative biostatisticians (CBs) developed within an academic medical program. The program is a collaborative effort between the Biostatistics, Epidemiology, and Research Design (BERD) Methods Core and the Master of Biostatist...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10022448/ https://www.ncbi.nlm.nih.gov/pubmed/36937572 http://dx.doi.org/10.1002/sta4.506 |
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author | Pomann, Gina‐Maria Boulware, L. Ebony Chan, Cliburn Grambow, Steven C. Hanlon, Alexandra L. Neely, Megan L. Peskoe, Sarah B. Samsa, Greg Troy, Jesse D. Yang, Lexie Zidanyue Thomas, Samantha M. |
author_facet | Pomann, Gina‐Maria Boulware, L. Ebony Chan, Cliburn Grambow, Steven C. Hanlon, Alexandra L. Neely, Megan L. Peskoe, Sarah B. Samsa, Greg Troy, Jesse D. Yang, Lexie Zidanyue Thomas, Samantha M. |
author_sort | Pomann, Gina‐Maria |
collection | PubMed |
description | This manuscript describes an experiential learning program for future collaborative biostatisticians (CBs) developed within an academic medical program. The program is a collaborative effort between the Biostatistics, Epidemiology, and Research Design (BERD) Methods Core and the Master of Biostatistics (MB) programme, 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. |
format | Online Article Text |
id | pubmed-10022448 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-100224482023-03-17 Experiential learning methods for biostatistics students: A model for embedding student interns in academic health centers Pomann, Gina‐Maria Boulware, L. Ebony Chan, Cliburn Grambow, Steven C. Hanlon, Alexandra L. Neely, Megan L. Peskoe, Sarah B. Samsa, Greg Troy, Jesse D. Yang, Lexie Zidanyue Thomas, Samantha M. Stat (Int Stat Inst) Special Issue Articles This manuscript describes an experiential learning program for future collaborative biostatisticians (CBs) developed within an academic medical program. The program is a collaborative effort between the Biostatistics, Epidemiology, and Research Design (BERD) Methods Core and the Master of Biostatistics (MB) programme, 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. John Wiley and Sons Inc. 2022-12-25 2022-12 /pmc/articles/PMC10022448/ /pubmed/36937572 http://dx.doi.org/10.1002/sta4.506 Text en © 2022 The Authors. Stat published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Special Issue Articles Pomann, Gina‐Maria Boulware, L. Ebony Chan, Cliburn Grambow, Steven C. Hanlon, Alexandra L. Neely, Megan L. Peskoe, Sarah B. Samsa, Greg Troy, Jesse D. Yang, Lexie Zidanyue Thomas, Samantha M. Experiential learning methods for biostatistics students: A model for embedding student interns in academic health centers |
title | Experiential learning methods for biostatistics students: A model for embedding student interns in academic health centers |
title_full | Experiential learning methods for biostatistics students: A model for embedding student interns in academic health centers |
title_fullStr | Experiential learning methods for biostatistics students: A model for embedding student interns in academic health centers |
title_full_unstemmed | Experiential learning methods for biostatistics students: A model for embedding student interns in academic health centers |
title_short | Experiential learning methods for biostatistics students: A model for embedding student interns in academic health centers |
title_sort | experiential learning methods for biostatistics students: a model for embedding student interns in academic health centers |
topic | Special Issue Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10022448/ https://www.ncbi.nlm.nih.gov/pubmed/36937572 http://dx.doi.org/10.1002/sta4.506 |
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