Sensitivity analysis methods in the biomedical sciences.

Sensitivity analysis methods in the biomedical sciences.
Math Biosci. 2020 Jan 14;:108306
Authors: Qian G, Mahdi A
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.
PMID: 31953192 [PubMed - as supplied by publisher]

Source: Mathematical Biosciences - January 13, 2020 Category: Statistics Authors: Qian G, Mahdi A Tags: Math Biosci Source Type: research