Cargando…
Building Physician-Scientist Skills in R Programming:A Short Workshop Report
INTRODUCTION: Statistical analysis programs require coding experience and a basic understanding of programming, skills which are not taught as part of medical school or residency curricula. METHODS: We conducted a five-day course for early-career Nigerian physician-scientists interested in learning...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9289956/ https://www.ncbi.nlm.nih.gov/pubmed/35854710 http://dx.doi.org/10.21106/ijtmrph.418 |
_version_ | 1784748780977913856 |
---|---|
author | Aliyu, Muktar H. Sani, Mahmoud U. Ingles, Donna J. Tsiga-Ahmed, Fatima I. Musa, Baba M. Byers, M. Shannon Dongarwar, Deepa Salihu, Hamisu M. Wester, C.William |
author_facet | Aliyu, Muktar H. Sani, Mahmoud U. Ingles, Donna J. Tsiga-Ahmed, Fatima I. Musa, Baba M. Byers, M. Shannon Dongarwar, Deepa Salihu, Hamisu M. Wester, C.William |
author_sort | Aliyu, Muktar H. |
collection | PubMed |
description | INTRODUCTION: Statistical analysis programs require coding experience and a basic understanding of programming, skills which are not taught as part of medical school or residency curricula. METHODS: We conducted a five-day course for early-career Nigerian physician-scientists interested in learning common statistical tests and acquiring R programming skills. The workshop included didactic presentations, small group learning activities, and interactive discussions. A baseline questionnaire captured participant demographics and solicited participants’ level of confidence in understanding/performing common statistical tests. REDCap questionnaires were emailed to obtain feedback on educational format and content. A post-workshop assessment covered participants’ overall impression of the program. RESULTS: A total of 23 participants attended the program. Most participants were male (n=14, 60.9%) and at an early stage in their career (assistant professor, n=20, 87.0%). Approximately 70% of respondents indicated having received some prior training in statistics. The proportion of participants without experience using R and SAS software (90% and 85%, respectively) was greater than the corresponding proportions for Stata (55%) and SPSS (20%). Prior to the workshop, most respondents expressed being “not at all confident” in performing one-way ANOVA (60%), logistic regression (68%), simple linear regression (60%), and McNemar’s test (80%). There was a statistically significant post-workshop improvement in the level of confidence in understanding and performing common statistical tests. The course was rated on a 0–100 scale as “moderately difficult” (mean ± SD: 51.7 ± 19.5). Most participants felt comfortable in putting the knowledge learned into practice (82.2 ± 17.1). CONCLUSION AND PUBLIC HEALTH IMPLICATIONS: Introductory R can be taught to junior physician-scientists in resource-limited settings and can inform the development and implementation of similar training initiatives in analogous settings. |
format | Online Article Text |
id | pubmed-9289956 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
record_format | MEDLINE/PubMed |
spelling | pubmed-92899562022-07-18 Building Physician-Scientist Skills in R Programming:A Short Workshop Report Aliyu, Muktar H. Sani, Mahmoud U. Ingles, Donna J. Tsiga-Ahmed, Fatima I. Musa, Baba M. Byers, M. Shannon Dongarwar, Deepa Salihu, Hamisu M. Wester, C.William Int J Transl Med Res Public Health Article INTRODUCTION: Statistical analysis programs require coding experience and a basic understanding of programming, skills which are not taught as part of medical school or residency curricula. METHODS: We conducted a five-day course for early-career Nigerian physician-scientists interested in learning common statistical tests and acquiring R programming skills. The workshop included didactic presentations, small group learning activities, and interactive discussions. A baseline questionnaire captured participant demographics and solicited participants’ level of confidence in understanding/performing common statistical tests. REDCap questionnaires were emailed to obtain feedback on educational format and content. A post-workshop assessment covered participants’ overall impression of the program. RESULTS: A total of 23 participants attended the program. Most participants were male (n=14, 60.9%) and at an early stage in their career (assistant professor, n=20, 87.0%). Approximately 70% of respondents indicated having received some prior training in statistics. The proportion of participants without experience using R and SAS software (90% and 85%, respectively) was greater than the corresponding proportions for Stata (55%) and SPSS (20%). Prior to the workshop, most respondents expressed being “not at all confident” in performing one-way ANOVA (60%), logistic regression (68%), simple linear regression (60%), and McNemar’s test (80%). There was a statistically significant post-workshop improvement in the level of confidence in understanding and performing common statistical tests. The course was rated on a 0–100 scale as “moderately difficult” (mean ± SD: 51.7 ± 19.5). Most participants felt comfortable in putting the knowledge learned into practice (82.2 ± 17.1). CONCLUSION AND PUBLIC HEALTH IMPLICATIONS: Introductory R can be taught to junior physician-scientists in resource-limited settings and can inform the development and implementation of similar training initiatives in analogous settings. 2022-02-09 2022-05-27 /pmc/articles/PMC9289956/ /pubmed/35854710 http://dx.doi.org/10.21106/ijtmrph.418 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License CC BY 4.0. |
spellingShingle | Article Aliyu, Muktar H. Sani, Mahmoud U. Ingles, Donna J. Tsiga-Ahmed, Fatima I. Musa, Baba M. Byers, M. Shannon Dongarwar, Deepa Salihu, Hamisu M. Wester, C.William Building Physician-Scientist Skills in R Programming:A Short Workshop Report |
title | Building Physician-Scientist Skills in R Programming:A Short Workshop Report |
title_full | Building Physician-Scientist Skills in R Programming:A Short Workshop Report |
title_fullStr | Building Physician-Scientist Skills in R Programming:A Short Workshop Report |
title_full_unstemmed | Building Physician-Scientist Skills in R Programming:A Short Workshop Report |
title_short | Building Physician-Scientist Skills in R Programming:A Short Workshop Report |
title_sort | building physician-scientist skills in r programming:a short workshop report |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9289956/ https://www.ncbi.nlm.nih.gov/pubmed/35854710 http://dx.doi.org/10.21106/ijtmrph.418 |
work_keys_str_mv | AT aliyumuktarh buildingphysicianscientistskillsinrprogrammingashortworkshopreport AT sanimahmoudu buildingphysicianscientistskillsinrprogrammingashortworkshopreport AT inglesdonnaj buildingphysicianscientistskillsinrprogrammingashortworkshopreport AT tsigaahmedfatimai buildingphysicianscientistskillsinrprogrammingashortworkshopreport AT musababam buildingphysicianscientistskillsinrprogrammingashortworkshopreport AT byersmshannon buildingphysicianscientistskillsinrprogrammingashortworkshopreport AT dongarwardeepa buildingphysicianscientistskillsinrprogrammingashortworkshopreport AT salihuhamisum buildingphysicianscientistskillsinrprogrammingashortworkshopreport AT westercwilliam buildingphysicianscientistskillsinrprogrammingashortworkshopreport |