Bayesian methods and decision making in glaucoma

This article reviews the Bayesian statistical approach to diagnostic test analysis and application in the management of glaucoma patients. The central idea of the Bayesian method is the use of study data to update the state of knowledge about a quantity of interest. In diagnostic test analysis, the...

Full description

Bibliographic Details
Main Author: Niro Kasahara
Format: Article
Language:English
Published: Pan-American Association of Ophthalmology 2013-08-01
Series:Vision Pan-America
Subjects:
Online Access:http://journals.sfu.ca/paao/index.php/journal/article/view/124
_version_ 1818317166190002176
author Niro Kasahara
author_facet Niro Kasahara
author_sort Niro Kasahara
collection DOAJ
description This article reviews the Bayesian statistical approach to diagnostic test analysis and application in the management of glaucoma patients. The central idea of the Bayesian method is the use of study data to update the state of knowledge about a quantity of interest. In diagnostic test analysis, the Bayesian approach explicitly elicits a clear interpretation of chances of a particular eye disease given a positive test result. The Bayesian method also provides a reasonable rationale for deciding whether to perform a laser iridotomy in a patient with occludable angles. We present several literature examples of Bayesian methods in practice, especially as it relates to glaucoma evaluation and progression.
first_indexed 2024-12-13T09:33:00Z
format Article
id doaj.art-b819c30273294a309dd0224dc5ce20ba
institution Directory Open Access Journal
issn 2219-4665
2219-4673
language English
last_indexed 2024-12-13T09:33:00Z
publishDate 2013-08-01
publisher Pan-American Association of Ophthalmology
record_format Article
series Vision Pan-America
spelling doaj.art-b819c30273294a309dd0224dc5ce20ba2022-12-21T23:52:27ZengPan-American Association of OphthalmologyVision Pan-America2219-46652219-46732013-08-01123697210.15324/vpa.v12i3.12471Bayesian methods and decision making in glaucomaNiro Kasahara0Santa Casa de Sao Paulo School of Medical SciencesThis article reviews the Bayesian statistical approach to diagnostic test analysis and application in the management of glaucoma patients. The central idea of the Bayesian method is the use of study data to update the state of knowledge about a quantity of interest. In diagnostic test analysis, the Bayesian approach explicitly elicits a clear interpretation of chances of a particular eye disease given a positive test result. The Bayesian method also provides a reasonable rationale for deciding whether to perform a laser iridotomy in a patient with occludable angles. We present several literature examples of Bayesian methods in practice, especially as it relates to glaucoma evaluation and progression.http://journals.sfu.ca/paao/index.php/journal/article/view/124bayesian statisticglaucomaangle closure glaucoma
spellingShingle Niro Kasahara
Bayesian methods and decision making in glaucoma
Vision Pan-America
bayesian statistic
glaucoma
angle closure glaucoma
title Bayesian methods and decision making in glaucoma
title_full Bayesian methods and decision making in glaucoma
title_fullStr Bayesian methods and decision making in glaucoma
title_full_unstemmed Bayesian methods and decision making in glaucoma
title_short Bayesian methods and decision making in glaucoma
title_sort bayesian methods and decision making in glaucoma
topic bayesian statistic
glaucoma
angle closure glaucoma
url http://journals.sfu.ca/paao/index.php/journal/article/view/124
work_keys_str_mv AT nirokasahara bayesianmethodsanddecisionmakinginglaucoma