| Literature DB >> 31953192 |
Abstract
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.Keywords: Mathematical modelling; Sensitivity analysis; Uncertainty quantification
Mesh:
Year: 2020 PMID: 31953192 DOI: 10.1016/j.mbs.2020.108306
Source DB: PubMed Journal: Math Biosci ISSN: 0025-5564 Impact factor: 2.144