Verification, Validation and Sensitivity Studies of Computational Models used in Toxicology Assessment

Abstract

Complex computational models of biological systems are developed to simulate and emulate various biological systems, but many times, these models are subjected to doubt due to inconsistent model verification and validation. The verification and validation of a model are important aspects of model construction. Moreover, the techniques used to perform the verification and validation are also important as the improper selection of the verification and validation techniques can lead to false conclusions with profound negative effects, especially when the model is applied in healthcare. The objective of this chapter is to discuss the current verification and validation techniques used in the analysis and interpretation of biological models. This chapter aims to increase the efficiency and the peer acceptability of the biological prediction models by encouraging researchers to adopt verification and validation processes during biological model construction.