rcprd:一个R包,简化了临床实践研究数据链 (CPRD) 数据的提取和处理,并创建分析准备的数据集
Alexander Pate1, Rosa Parisi1, Evangelos Kontopantelis1
1Division of Informatics, Imaging and Data Sciences, University of Manchester.
PloS one
|August 19, 2025
概括
该rcprd R包简化了临床实践研究数据链 (CPRD) 电子健康记录的提取. 该工具简化了研究人员的数据处理,节省了准备数据集进行统计分析的时间和精力.
科学领域:
- 医疗信息学 医疗信息学
- 生物统计学 生物统计学
- 数据科学数据科学数据科学
背景情况:
- 临床实践研究数据链接 (CPRD) 是英国重要的电子健康记录资源.
- 提取和管理CPRD数据是计算密集的,特别是使用R.
- 在txt文件中的原始CPRD数据呈现查询效率低下.
研究的目的:
- 引入rcprd R包,以简化CPRD数据的提取和处理.
- 使研究人员能够有效地从CPRD数据构建数据集进行统计分析.
- 减少CPRD研究数据管理中的重复工作.
主要方法:
- 该rcprd包将原始CPRD.txt文件转换为一个高效的SQLite数据库.
- 它采用四个阶段的过程:队列定义,数据导入,数据库查询和数据集创建.
- 该包允许提取常见的变量类型和自定义查询,而不需要SQL知识.
主要成果:
- rcprd显著简化了CPRD数据的提取和处理.
- 该包创建可查询的SQLite数据库,以进行高效的数据检索.
- 它生成准备好进行统计分析的数据集,完全可以在R.中使用.
结论:
- 对于使用CPRD数据的研究人员来说,rcprd包提供了一个用户友好和高效的解决方案.
- 它减少了计算负担和数据准备所需的时间.
- 通过简化数据管理任务,rcprd促进了更有针对性的研究.
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