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.

中文翻译：

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生物医学科学中的灵敏度分析方法。

灵敏度分析是数学建模者工具箱中用于模型分析的重要部分。在本文中，我们将介绍最常用的灵敏度技术，并讨论它们的优点和局限性，然后再将每种方法应用于简单的模型。还包括当前软件包的摘要，以及进行敏感性分析的建模者指南。最后，我们将流行的Morris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原理及其结果的表述背后提供更深刻的理解。