Correlation analysis and multiple regression formulas of refractive errors and ocular components

The multiple regression formulas and correlation of ocular components with refractive errors are presented by Gaussian optics. The refractive error changing rate for the cornea and lens power, the axial length, anterior chamber depth (ACD) and vitreous chamber depth (VCD) are calculated, including n...

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Main Authors: Chao-Kai Chang, Jui-Teng Lin, Yong Zhang
Format: Article
Language:English
Published: Press of International Journal of Ophthalmology (IJO PRESS) 2019-05-01
Series:International Journal of Ophthalmology
Subjects:
Online Access:http://www.ijo.cn/en_publish/2019/5/20190526.pdf
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spelling doaj-54c4abc657fa476683cee07b777411de2020-11-25T02:44:09ZengPress of International Journal of Ophthalmology (IJO PRESS)International Journal of Ophthalmology2222-39592227-48982019-05-0112585886110.18240/ijo.2019.05.26Correlation analysis and multiple regression formulas of refractive errors and ocular componentsChao-Kai Chang0Jui-Teng Lin1Yong Zhang2Nobel Eye Institute, Taipei 100, Taiwan, ChinaNew Vision Inc., Taipei 103, Taiwan, China; Gong-Rui Medical Technology, Xiamen 361000, Fujian Province, ChinaDepartment of Ophthalmology, Shandong Provincial Hospital, Shandong University, Jinan 250021, Shandong Province, ChinaThe multiple regression formulas and correlation of ocular components with refractive errors are presented by Gaussian optics. The refractive error changing rate for the cornea and lens power, the axial length, anterior chamber depth (ACD) and vitreous chamber depth (VCD) are calculated, including nonlinear terms for more accurate rate functions than the linear theory. Our theory, consistent with the empirical data, shows that the Pearson correlation coefficients for spherical equivalent (SE) and ocular components are highest for SE with axial length, ACD and VCD and weakest for corneal power, lens power and lens thickness. Moreover, our regression formulas show the asymmetric feature of the correlation that the axial length, ACD and VCD are more strongly correlated (with higher negative regression constants) with refractive errors in eyes with hyperopia than in eyes with myopia, particularly for severe hyperopia.http://www.ijo.cn/en_publish/2019/5/20190526.pdfhuman eye ocular componentsrefractive errorsregression formulascorrelation
collection DOAJ
language English
format Article
sources DOAJ
author Chao-Kai Chang
Jui-Teng Lin
Yong Zhang
spellingShingle Chao-Kai Chang
Jui-Teng Lin
Yong Zhang
Correlation analysis and multiple regression formulas of refractive errors and ocular components
International Journal of Ophthalmology
human eye ocular components
refractive errors
regression formulas
correlation
author_facet Chao-Kai Chang
Jui-Teng Lin
Yong Zhang
author_sort Chao-Kai Chang
title Correlation analysis and multiple regression formulas of refractive errors and ocular components
title_short Correlation analysis and multiple regression formulas of refractive errors and ocular components
title_full Correlation analysis and multiple regression formulas of refractive errors and ocular components
title_fullStr Correlation analysis and multiple regression formulas of refractive errors and ocular components
title_full_unstemmed Correlation analysis and multiple regression formulas of refractive errors and ocular components
title_sort correlation analysis and multiple regression formulas of refractive errors and ocular components
publisher Press of International Journal of Ophthalmology (IJO PRESS)
series International Journal of Ophthalmology
issn 2222-3959
2227-4898
publishDate 2019-05-01
description The multiple regression formulas and correlation of ocular components with refractive errors are presented by Gaussian optics. The refractive error changing rate for the cornea and lens power, the axial length, anterior chamber depth (ACD) and vitreous chamber depth (VCD) are calculated, including nonlinear terms for more accurate rate functions than the linear theory. Our theory, consistent with the empirical data, shows that the Pearson correlation coefficients for spherical equivalent (SE) and ocular components are highest for SE with axial length, ACD and VCD and weakest for corneal power, lens power and lens thickness. Moreover, our regression formulas show the asymmetric feature of the correlation that the axial length, ACD and VCD are more strongly correlated (with higher negative regression constants) with refractive errors in eyes with hyperopia than in eyes with myopia, particularly for severe hyperopia.
topic human eye ocular components
refractive errors
regression formulas
correlation
url http://www.ijo.cn/en_publish/2019/5/20190526.pdf
work_keys_str_mv AT chaokaichang correlationanalysisandmultipleregressionformulasofrefractiveerrorsandocularcomponents
AT juitenglin correlationanalysisandmultipleregressionformulasofrefractiveerrorsandocularcomponents
AT yongzhang correlationanalysisandmultipleregressionformulasofrefractiveerrorsandocularcomponents
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