A Bayesian approach for application to method validation and measurement uncertainty

The aim of this paper is to apply a new technique for the validation of quantitative analytical procedures based on Bayesian simulation and accuracy profile. Also, an original strategy for estimating measurement uncertainty by the same approach has been developed. The performance of our proposal was confirmed by application to analytical and bio-analytical methods. Compared to the classical strategy, the new approach has a more holistic character. It means that it is no longer necessary to know the various individual steps into which the analytical method can be broken down since this latter is taken as a whole. rmore, the Bayesian accuracy profile procedure allows to control the risk associated with the future use of the analytical method.