title: An elementary introduction to Bayesian computing using WinBUGS.
abstract: Bayesian statistics provides effective techniques for analyzing data and translating the results to inform decision making. This paper provides an elementary tutorial overview of the WinBUGS software for performing Bayesian statistical analysis. Background information on the computational methods used by the software is provided. Two examples drawn from the field of medical decision making are presented to illustrate the features and functionality of the software.
authors.affiliation: University of Wisconsin-Madison, USA.
authors.forename: D G
authors.initials: DG
authors.lastname: Fryback
authors.forename: N K
authors.initials: NK
authors.lastname: Stout
authors.forename: M A
authors.initials: MA
authors.lastname: Rosenberg
mesh_terms: D001499:Bayes Theorem; D003657:Decision Making; D020000:Decision Support Systems, Clinical; D003663:Decision Trees; D006801:Humans; D008492:Medical Informatics Computing; D012984:Software; D013269:Stochastic Processes