  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.
