论文标题
生物医学科学中的灵敏度分析方法
Sensitivity analysis methods in the biomedical sciences
论文作者
论文摘要
灵敏度分析是用于模型分析的数学建模器工具箱的重要组成部分。在本文论文中，我们描述了最常用的灵敏度技术，讨论了它们的优势和局限性，然后再将每种方法应用于简单模型。还包括当前软件包的摘要，以及用于进行灵敏度分析的建模器指南。最后，我们将流行的莫里斯和SOBOL方法应用于具有生物医学应用的两个模型，目的是在这些方法的两种原理及其结果的呈现背后提供更深入的理解。
Sensitivity analysis is an important part of a mathematical modeller's toolbox for model analysis. In this review paper, we describe the most frequently used sensitivity techniques, discussing their advantages and limitations, before applying each method to a simple model. Also included is a summary of current software packages, as well as a modeller's guide for carrying out sensitivity analyses. Finally, we apply the popular Morris and Sobol methods to two models with biomedical applications, with the intention of providing a deeper understanding behind both the principles of these methods and the presentation of their results.
