非线性回归的概率区间
1Department of Clinical Pharmacology and Therapeutics, Asan Medical Center, University of Ulsan College of Medicine, Seoul 05505, Korea.
Translational and clinical pharmacology
|July 13, 2023
概括
对于非线性模型,沃尔德置信区间是有限的. 本研究在R软件中引入了概率间隔,提供了更准确的估计,反映了概率概况.
科学领域:
- 药量计和统计建模. 药量计和统计建模.
- 计算统计和软件开发.
背景情况:
- 沃尔德置信区间是非线性模型的标准,但未能捕捉概率概况不对称.
- 现有的统计软件缺乏用于基于概率的间隔估计和非线性回归中的配置图像可视化的工具.
研究的目的:
- 实施R.中非线性模型的概率区间估计和概率概率图谱绘制.
- 通过提供准确的,配置意识的估计来解决瓦尔德间隔的局限性.
- 增强 wnl R 软件包用于非线性建模的功能.
主要方法:
- 在wnl R包中开发和集成用于概率区间计算的函数.
- 实施概率概况绘图,以可视化参数不确定性.
- 使用适应度-时间数据的药理动力学模型进行演示.
主要成果:
- 在wnl R包中成功实现概率区间估计和配置图绘制.
- 与沃尔德间隔相比,新的函数提供了更准确的参数不确定性表示.
- 药理动力学模型示例说明了实施的方法的实际应用和好处.
结论:
- 现在,wnl R包提供了强大的工具,用于在非线性模型中基于概率的推理.
- 这些实现克服了以前的软件限制,促进了更可靠的参数估计.
- 该研究推进了在非线性回归分析和药理学中使用概率概况的应用.
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