A review of multivariate methods of analysing refractive data with dioptric power matrices

African Vision and Eye Health

 
 
Field Value
 
Title A review of multivariate methods of analysing refractive data with dioptric power matrices
 
Creator Chetty, Elizabeth Rubin, Alan
 
Subject optometry; vision science multivariate statistical analysis; dioptric power space; dioptric power; stereo-pairs; polar profiles; hypothesis testing
Description Background: There are three components to refractive state, namely sphere, cylinder and axis. Similarly, central corneal power is also composed of three components, namely the power along the flat meridian, the power along the steep meridian and the axis of the flat meridian. Most studies that investigate refractive data and corneal power analyse each of the three components individually rather than as a trivariate entity. In doing so, pertinent information may inadvertently be omitted.Aim: The purpose of this review is to provide a brief overview of the multivariate statistics that are available to analyse multivariate data such as dioptric power. This will enable readers to better understand research that is analysed using these methods.Method: An extensive review of databases such as Google Scholar, Science Direct and ResearchGate was done to gather publications on the topic of multivariate statistical analysis. Keywords such as multivariate statistical analysis, dioptric power, stereo-pairs, polar profiles and hypothesis testing were used to conduct the search.Results: The debate for the need to analyse dioptric power using multivariate statistical methods has been a long-standing one. For this review, more than 40 publications were analysed to provide a simplified overview of the multivariate statistical methods that can be used to analyse dioptric power.Conclusion: The use of multivariate statistical methods is a valuable tool in analysing and understanding dioptric power holistically and may provide more insights for research involving refractive error and corneal power. 
 
Publisher AOSIS
 
Contributor
Date 2022-11-08
 
Type info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion — —
Format text/html application/epub+zip text/xml application/pdf
Identifier 10.4102/aveh.v81i1.714
 
Source African Vision and Eye Health; Vol 81, No 1 (2022); 8 pages 2410-1516 2413-3183
 
Language eng
 
Relation
The following web links (URLs) may trigger a file download or direct you to an alternative webpage to gain access to a publication file format of the published article:

https://avehjournal.org/index.php/aveh/article/view/714/2006 https://avehjournal.org/index.php/aveh/article/view/714/2007 https://avehjournal.org/index.php/aveh/article/view/714/2008 https://avehjournal.org/index.php/aveh/article/view/714/2009
 
Coverage South Africa — —
Rights Copyright (c) 2022 Elizabeth Chetty, Alan Rubin https://creativecommons.org/licenses/by/4.0
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