Using Bayesian analysis in repeated preclinical in vivo studies for a more effective use of animals

We describe two case studies of animal models: the lipopolysaccharide‐induced cytokine release model used in inflammation and the novel object recognition model used to screen cognitive enhancers, both of which show the advantage of a Bayesian approach over the standard frequentist analysis. We conclude that using Bayesian methods in stable repeated in vivo studies can result in a more effective use of animals, either by reducing the total number of animals used or by increasing the precision of key treatment differences. This will lead to clearer results and supports the “3Rs initiative” to Refine, Reduce and Replace animals in research. Copyright © 2016 John Wiley & Sons, Ltd.

Source: Pharmaceutical Statistics - February 29, 2016 Category: Statistics Authors: Rosalind Walley, John Sherington, Joe Rastrick, Eric Detrait, Etienne Hanon, Gillian Watt Tags: Main Paper Source Type: research