培养医生-科学家的 R 语言编程技能:短期研讨会报告。

Muktar H Aliyu, Mahmoud U Sani, Donna J Ingles, Fatima I Tsiga-Ahmed, Baba M Musa, M Shannon Byers, Deepa Dongarwar, Hamisu M Salihu, C William Wester
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引用次数: 0

摘要

介绍:统计分析程序需要编码经验和对编程的基本了解,而医学院或住院医师培训课程并未教授这些技能:我们为有兴趣学习常用统计测试和掌握 R 编程技能的尼日利亚早期职业医师科学家开设了为期五天的课程。研讨会包括授课演示、小组学习活动和互动讨论。基线问卷调查了参与者的人口统计学特征,并了解了参与者对理解/执行常见统计检验的信心水平。通过电子邮件发送了 REDCap 问卷,以获取对教育形式和内容的反馈意见。研修班后的评估涵盖了学员对课程的总体印象:共有 23 人参加了该项目。大多数参与者为男性(14 人,占 60.9%),处于职业生涯的早期阶段(助理教授,20 人,占 87.0%)。约 70% 的受访者表示以前接受过一些统计方面的培训。没有 R 和 SAS 软件使用经验的受访者比例(分别为 90% 和 85%)高于 Stata(55%)和 SPSS(20%)。在研修班之前,大多数受访者表示对单向方差分析(60%)、逻辑回归(68%)、简单线性回归(60%)和 McNemar 检验(80%)"完全没有信心"。工作坊结束后,学员在理解和执行常见统计检验方面的信心水平有了明显的提高。在 0-100 分的评分中,该课程被评为 "中等难度"(平均值±标准差:51.7±19.5)。大多数参与者在将所学知识付诸实践时感到得心应手(82.2 ± 17.1):可在资源有限的环境中向初级医生-科学家教授 R 入门,并为在类似环境中制定和实施类似培训计划提供参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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

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 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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