title: [Bayesian statistics in medicine -- part II: main applications and inference].
abstract: Bayesian statistics is not only used when one is dealing with 2-way tables, but it can be used for inferential purposes. Using the basic concepts presented in the first part, this paper aims to give a simple overview of Bayesian methods by introducing its foundation (Bayes' theorem) and then applying this rule to a very simple practical example; whenever possible, the elementary processes at the basis of analysis are compared to those of frequentist (classical) statistical analysis. The Bayesian reasoning is naturally connected to medical activity, since it appears to be quite similar to a diagnostic process.
authors.affiliation: Dipartimento di Scienze Sanitarie Applicate e Psicocomportamentali, Sezione Medica ed Epidemiologica, Università degli Studi, Pavia, Italy. cristina.montomoli@unipv.it
authors.forename: C
authors.initials: C
authors.lastname: Montomoli
authors.forename: M
authors.initials: M
authors.lastname: Nichelatti
mesh_terms: D001499:Bayes Theorem; D003933:Diagnosis; D008962:Models, Theoretical