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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.
Afiliación
  • Aliyu MH; Vanderbilt Institute for Global Health, Vanderbilt University Medical Center, Nashville, TN, USA.
  • Sani MU; Bayero University, Kano, Nigeria.
  • Ingles DJ; Vanderbilt University, Nashville, TN, USA.
  • Tsiga-Ahmed FI; Bayero University & Aminu Kano Teaching Hospital, Kano, Nigeria.
  • Musa BM; African Center of Excellence for Population Health and Policy, Bayero University, Kano, Nigeria.
  • Byers MS; Vanderbilt Institute for Global Health, Vanderbilt University Medical Center, Nashville, TN, USA.
  • Dongarwar D; Baylor College of Medicine, Department of Family and Community Medicine, Houston, Texas, USA.
  • Salihu HM; Baylor College of Medicine, Department of Family and Community Medicine, Houston, Texas, USA.
  • Wester CW; Vanderbilt Institute for Global Health, Vanderbilt University Medical Center, Nashville, TN, USA.
Article en En | MEDLINE | ID: mdl-35854710
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 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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Int J Transl Med Res Public Health Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Int J Transl Med Res Public Health Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos
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