使用DataCheQC提高药理学分析效率:一种基于Shiny的交互式应用程序,用于药理学数据集的质量控制
Or Dotan1, Andrijana Radivojevic2, Rajendra Singh3
1Teva Pharmaceutical Industries, Netanya, Israel.
CPT: pharmacometrics & systems pharmacology
|August 18, 2023
概括
DataCheQC是一个新的R Shiny应用程序,用于药量测量数据集的质量控制 (QC),帮助基于模型的药物开发. 它提供视觉数据检查和结构完整性检查,生成可下载的总结报告,而不需要编程知识.
科学领域:
- 制药指标 (Pharmacometrics) 是一个指标.
- 计算生物学 计算生物学
- 数据科学数据科学数据科学
背景情况:
- 药量测量数据集对于基于模型的药物开发至关重要 (MIDD).
- 确保数据质量和完整性是药量计工作流程中的关键步骤.
- 现有的数据质量控制方法可能很复杂,需要编程专业知识.
研究的目的:
- 引入DataCheQC,一个用于药量计数据集质量控制的交互式R Shiny应用程序.
- 通过简化数据质量控制流程来支持MIDD的实施.
- 为识别数据错误和异常提供一个用户友好的工具.
主要方法:
- 使用R Shiny框架开发交互式应用程序.
- 实现可视检查变量和数据输入的功能.
- 包括一个功能,通过比较数据集与规范文件来确保结构完整性.
- 生成可下载的QC调查结果总结报告.
主要成果:
- DataCheQC可以对数据进行视觉检查,以查找错误和异常.
- 该应用程序检查数据集的结构完整性与规范文件对比.
- 用户可以直接从应用程序中生成全面的总结报告.
- 该工具不需要编程知识,使数据质量控制可访问.
结论:
- DataCheQC提供了一个可访问和有效的解决方案,用于药量计数据质量控制.
- 该应用程序有助于实施可靠的基于模型的药物开发.
- 它的用户友好的界面和自动报告增强了QC工作流程.
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