Study design synopsis: Battle in the stable: Bayesianism versus Frequentism.

Abstract

Frequentism dominates scientific practice although Bayesianism may provide an alternative, especially when analysing data from complex, high-dimensional models. The key differences between Bayesianism and Frequentism are highlighted in the introduction. Next, I review the different stages of Bayesian statistical reasoning in a research setting, explain the key concepts and illustrate them with toy examples taken in equine veterinary medicine. An extension to more complex models (Bayes network) is introduced and guidelines are offered as a conclusion.