Building Physician-Scientist Skills in R Programming: A Short Workshop Report

Authors

  • Muktar H Aliyu Vanderbilt Institute for Global Health, Vanderbilt University Medical Center, Nashville, TN, USA
  • Mahmoud U Sani Bayero University, Kano, Nigeria
  • Donna J Ingles Vanderbilt University, Nashville, TN, USA
  • Fatima I. T siga-Ahmed Bayero University & Aminu Kano Teaching Hospital, Kano, Nigeria
  • Baba M Musa African Center of Excellence for Population Health and Policy, Bayero University, Kano, Nigeria
  • M. Shannon Byers Vanderbilt Institute for Global Health, Vanderbilt University Medical Center, Nashville, TN, USA
  • Deepa Dongarwar Baylor College of Medicine, Department of Family and Community Medicine, Houston, Texas, USA
  • Hamisu M Salihu Baylor College of Medicine, Department of Family and Community Medicine, Houston, Texas, USA
  • C. William Wester Vanderbilt Institute for Global Health, Vanderbilt University Medical Center, Nashville, TN, USA

DOI:

https://doi.org/10.21106/ijtmrph.418

Keywords:

  • R Programming,
  • Statistical Analysis Training,
  • Physician-Scientists,
  • Low- and Middle-Income Countries

Abstract

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 postworkshop 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.

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Published

2022-02-22
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How to Cite

Aliyu, M. H., Sani, M. U., Ingles, D. J., siga-Ahmed, F. I. T., Musa, B. M., Byers, M. S., … Wester, C. W. (2022). Building Physician-Scientist Skills in R Programming: A Short Workshop Report. International Journal of Translational Medical Research and Public Health, 6(1), 1–7. https://doi.org/10.21106/ijtmrph.418

License


Copyright © 2022 Muktar H Aliyu, Mahmoud U Sani, Donna J Ingles, Fatima I. T siga-Ahmed, Baba M Musa, M. Shannon Byers, Deepa Dongarwar, Hamisu M Salihu, C. William Wester. Published by Global Health and Education Projects, Inc., USA.

Creative Commons License

This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License , which permits others to remix, transform, and build upon the work non-commercially, provided the original author is credited and the new creations are licensed under the same terms.