期刊
MATHEMATICAL BIOSCIENCES
卷 323, 期 -, 页码 -出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.mbs.2020.108306
关键词
Sensitivity analysis; Uncertainty quantification; Mathematical modelling
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.
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