使用基于模型的合方法生成现实的虚拟成年人群
Yuchen Guo1, Tingjie Guo1, Catherijne A J Knibbe1,2
1Systems Pharmacology and Pharmacy, Leiden Academic Center for Drug Research, Leiden University, Einsteinweg 55, Leiden, 2333 CC, The Netherlands.
Journal of pharmacokinetics and pharmacodynamics
|June 6, 2024
概括
这项研究引入了一种可普拉模型,用于在药量测量模拟中生成现实的虚拟群体. 这种方法有效地捕捉了复杂的协同变量依赖性,改善了临床试验设计和剂量优化的模型预测.
科学领域:
- 药理计量学和计算生物学
- 统计建模和数据科学数据科学
背景情况:
- 现实的虚拟种群对于准确的药量学模拟和模型预测至关重要.
- 现有的共同变量模拟方法往往过于简化或忽略共同变量之间的依赖关系.
- 形模型为捕捉复杂的多变量依赖提供了一个强大的框架.
研究的目的:
- 开发和评估一种基于合的模型,用于生成现实的成人虚拟人群.
- 为了结合在药量测量模拟中使用的12个常见的与患者相关的共变量.
- 改进对共变量依赖结构的模拟.
主要方法:
- 使用了国家健康和营养检查调查 (NHANES) 数据库.
- 通过逐步分析双变量关系,构建了一个多变量 (葡萄藤) 形模型.
- 包括性别,种族-种族,体重,白蛋白和器官功能生物化学变量等共变量.
主要成果:
- 开发的copula模型准确地捕获了总体和子组种群的共变量分布.
- 在经过验证的copula模型的基础上创建了一个用户友好的Web应用程序.
- 与标准方法相比,在捕获共变量依赖性方面表现得更好.
结论:
- 开发的copula模型和Web应用程序为生成现实的成人虚拟人群提供了强大的工具.
- 这种方法提高了药量计模拟的可靠性.
- 有助于改进基于模型的临床试验设计和个性化剂量优化策略.
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