  Multiscale, agent-based mathematical models of biological systems are often
associated with model uncertainty and sensitivity to parameter perturbations.
Here, three uncertainty and sensitivity analyses methods, that are suitable to
use when working with agent-based models, are discussed. These methods are
namely Consistency Analysis, Robustness Analysis and Latin Hypercube Analysis.
This introductory review discusses origins, conventions, implementation and
result interpretation of the aforementioned methods. Information on how to
implement the discussed methods in MATLAB is included.
