Bayes' rule for clinicians: an introduction
Bayes' Rule is a way of calculating conditional probabilities. It is difficult to find an explanation of its relevance that is both mathematically comprehensive and easily accessible to all readers. This article tries to fill that void, by laying out the nature of Bayes' Rule and its impli...
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| Published in | Frontiers in psychology Vol. 1; p. 192 |
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| Main Author | |
| Format | Journal Article |
| Language | English |
| Published |
Switzerland
Frontiers Research Foundation
01.01.2010
Frontiers Media S.A |
| Subjects | |
| Online Access | Get full text |
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| Abstract | Bayes' Rule is a way of calculating conditional probabilities. It is difficult to find an explanation of its relevance that is both mathematically comprehensive and easily accessible to all readers. This article tries to fill that void, by laying out the nature of Bayes' Rule and its implications for clinicians in a way that assumes little or no background in probability theory. It builds on Meehl and Rosen's (1955) classic paper, by laying out algebraic proofs that they simply allude to, and by providing extremely simple and intuitively accessible examples of the concepts that they assumed their reader understood. |
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| AbstractList | Bayes’ Rule is a way of calculating conditional probabilities. It is difficult to find an explanation of its relevance that is both mathematically comprehensive and easily accessible to all readers. This article tries to fill that void, by laying out the nature of Bayes’ Rule and its implications for clinicians in a way that assumes little or no background in probability theory. It builds on Meehl and Rosen's (
1955
) classic paper, by laying out algebraic proofs that they simply allude to, and by providing extremely simple and intuitively accessible examples of the concepts that they assumed their reader understood. Bayes’ Rule is a way of calculating conditional probabilities. It is difficult to find an explanation of its relevance that is both mathematically comprehensive and easily accessible to all readers. This article tries to fill that void, by laying out the nature of Bayes’ Rule and its implications for clinicians in a way that assumes little or no background in probability theory. It builds on Meehl & Rosen’s (1955) classic paper, by laying out algebraic proofs that they simply allude to, and by providing extremely simple and intuitively accessible examples of the concepts that they assumed their reader understood, and provides examples of how the rule applies in a variety of clinical settings. Bayes' Rule is a way of calculating conditional probabilities. It is difficult to find an explanation of its relevance that is both mathematically comprehensive and easily accessible to all readers. This article tries to fill that void, by laying out the nature of Bayes' Rule and its implications for clinicians in a way that assumes little or no background in probability theory. It builds on Meehl and Rosen's (1955) classic paper, by laying out algebraic proofs that they simply allude to, and by providing extremely simple and intuitively accessible examples of the concepts that they assumed their reader understood. |
| Author | Westbury, Chris F |
| AuthorAffiliation | 1 Department of Psychology, University of Alberta Edmonton, AB, Canada |
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| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/21833252$$D View this record in MEDLINE/PubMed |
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| Copyright | Copyright © 2010 Westbury. 2010 |
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| Keywords | Bayes theory diagnosis base rates probability |
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| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Edited by: Edward Callus, IRCCS Policlinico San Donato, Italy Reviewed by: Gianluca Castelnuovo, Università Cattolica del Sacro Cuore, Italy; Gian Mauro Manzoni, Istituto Auxologico Italiano IRCCS, Italy; Francesco Pagnini, University of Bergamo, Italy This article was submitted to Frontiers in Psychology for Clinical Settings, a specialty of Frontiers in Psychology. |
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| References | 11495166 - J Consult Clin Psychol. 2001 Jun;69(3):358-74 20001656 - World J Biol Psychiatry. 2010 Feb;11(1):76-7 11393460 - J Pers Assess. 2001 Apr;76(2):264-81 14371890 - Psychol Bull. 1955 May;52(3):194-216 19379090 - J Pers Disord. 2009 Apr;23(2):113-21 18715550 - Epilepsy Behav. 2008 Nov;13(4):630-3 |
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| Title | Bayes' rule for clinicians: an introduction |
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