Bayesian Examples in Preclinical In Vivo Research
Bayesian methods appear to be rarely used in the analysis of preclinical pharmacology data. This can be partly attributed to the fact that for many studies, data will be analysed by the scientist with little or no input from statisticians. This is compounded by the lack of examples of such methods in preclinical research and the lack of accessible software for implementing them.
In this chapter, we describe three applications of Bayesian methodology in preclinical in vivo pharmacology studies. The first example was motivated by the 3Rs initiative to replace, reduce, or refine the use of animals in research and tackles the issue of using data from control groups in historical studies to reduce or replace control animals in subsequent studies. The two other applications are to use Bayesian methods to handle potential outliers and to analyse data from non-standard distributions.