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AN ELEMENTARY INTRODUCTION TO BAYESIAN COMPUTING USING WINBUGS

Published online by Cambridge University Press:  25 May 2001

Dennis G. Fryback ,
Natasha K. Stout  and
Marjorie A. Rosenberg
Dennis G. Fryback
Affiliation:
University of Wisconsin-Madison
Natasha K. Stout
Affiliation:
University of Wisconsin-Madison
Marjorie A. Rosenberg
Affiliation:
University of Wisconsin-Madison
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Abstract

Bayesian statistics provide 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.

Keywords

Bayes theoremStatistical modelsMedical decision makingTutorial
Type
Research Article
Information
International Journal of Technology Assessment in Health Care , Volume 17 , Issue 1 , January 2001 , pp. 98 - 113
Copyright
© 2001 Cambridge University Press

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