在现实世界的证据中研究的公平化:使用Git和R对可重复的分析工作流程的实用介绍
Janick Weberpals1, Shirley V Wang1
1Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Pharmacoepidemiology and drug safety
|January 4, 2024
概括
本教程介绍了Git,一个版本控制系统,以提高现实世界证据 (RWE) 研究的透明度和可重复性. 它提供了使用Git和R来跟踪,共享和存档RWE学习代码的实际步骤,以更好地做出决策.
科学领域:
- 医疗信息学 医疗信息学
- 计算生物学 计算生物学
- 现实世界的证据研究研究.
背景情况:
- 透明度和可重复性对于在真实世界证据 (RWE) 研究中的决策至关重要.
- 在RWE中,版本控制和代码共享的既定方法落后于其他定量领域.
- 在RWE中实施FAIR原则需要强大的文档和可重复的分析代码.
研究的目的:
- 为FAIR RWE研究引入分布式版本控制系统 (VCS).
- 为可重复的RWE工作流提供使用Git和R的实用指南.
- 展示VCS如何改善RWE研究的协作,传播和归档.
主要方法:
- 教程格式,带有逐步说明.
- 专注于 Git,一个分布式版本控制系统.
- 在RWE学习工作流程中使用R编程语言的集成示例.
主要成果:
- 展示了 Git 的实现,用于跟踪 RWE 研究文档和代码的变化.
- 展示Git如何促进RWE研究的合作和传播.
- 强调使用Git存储库来存档RWE研究,并提供完整的审计跟踪.
结论:
- Git和R提供了一个实际的框架,以提高RWE研究的透明度和可重复性.
- 采用像Git这样的VCS对于FAIR RWE实现至关重要.
- 这些工具支持RWE研究的整个生命周期,从分析到存档.
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