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 implications fo...

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Main Author:	Chris F Westbury
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2010-11-01
Series:	Frontiers in Psychology
Subjects:	diagnosis bayes rule conditional probablity formal methods in diagnosis probability theory
Online Access:	http://journal.frontiersin.org/Journal/10.3389/fpsyg.2010.00192/full

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spelling	doaj-0dcd940eb5094b8c9dd8aca6db0282f22020-11-24T23:56:37ZengFrontiers Media S.A.Frontiers in Psychology1664-10782010-11-01110.3389/fpsyg.2010.001922149Bayes’ Rule for Clinicians: An IntroductionChris F Westbury0University of AlbertaBayes’ 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.http://journal.frontiersin.org/Journal/10.3389/fpsyg.2010.00192/fulldiagnosisbayes ruleconditional probablityformal methods in diagnosisprobability theory
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Chris F Westbury
spellingShingle	Chris F Westbury Bayes’ Rule for Clinicians: An Introduction Frontiers in Psychology diagnosis bayes rule conditional probablity formal methods in diagnosis probability theory
author_facet	Chris F Westbury
author_sort	Chris F Westbury
title	Bayes’ Rule for Clinicians: An Introduction
title_short	Bayes’ Rule for Clinicians: An Introduction
title_full	Bayes’ Rule for Clinicians: An Introduction
title_fullStr	Bayes’ Rule for Clinicians: An Introduction
title_full_unstemmed	Bayes’ Rule for Clinicians: An Introduction
title_sort	bayes’ rule for clinicians: an introduction
publisher	Frontiers Media S.A.
series	Frontiers in Psychology
issn	1664-1078
publishDate	2010-11-01
description	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.
topic	diagnosis bayes rule conditional probablity formal methods in diagnosis probability theory
url	http://journal.frontiersin.org/Journal/10.3389/fpsyg.2010.00192/full
work_keys_str_mv	AT chrisfwestbury bayesruleforcliniciansanintroduction
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Bayes’ Rule for Clinicians: An Introduction

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