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...
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Format: | Article |
Language: | English |
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Pan-American Association of Ophthalmology
2013-08-01
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Series: | Vision Pan-America |
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Online Access: | http://journals.sfu.ca/paao/index.php/journal/article/view/124 |
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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 |