Sensitivity analysis methods in the biomedical sciences
Quantitative Methods
2020-01-14 v1 Applications
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
Cite
@article{arxiv.2001.03965,
title = {Sensitivity analysis methods in the biomedical sciences},
author = {George Qian and Adam Mahdi},
journal= {arXiv preprint arXiv:2001.03965},
year = {2020}
}
Comments
7 figures