Applicability of supervised discriminant analysis models to analyze astigmatism clinical trial data

Mohammad Reza Sedghipour,1 Homayoun Sadeghi-Bazargani2,31Nikoukari Ophthalmology University Hospital, Tabriz, Iran; 2Department of Statistics and Epidemiology, Neuroscience Research Center, Tabriz University of Medical Sciences, Tabriz, Iran; 3Department of Public Health Sciences, Karolinska Institu...

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Autores principales:	Sedghipour MR, Sadeghi-Bazargani H
Formato:	article
Lenguaje:	EN
Publicado:	Dove Medical Press 2012
Materias:	Ophthalmology RE1-994
Acceso en línea:	https://doaj.org/article/e43d460ff93b4d8fb8cbf07100efdcd3
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spelling	oai:doaj.org-article:e43d460ff93b4d8fb8cbf07100efdcd32021-12-02T02:49:54ZApplicability of supervised discriminant analysis models to analyze astigmatism clinical trial data1177-54671177-5483https://doaj.org/article/e43d460ff93b4d8fb8cbf07100efdcd32012-09-01T00:00:00Zhttp://www.dovepress.com/applicability-of-supervised-discriminant-analysis-models-to-analyze-as-a11040https://doaj.org/toc/1177-5467https://doaj.org/toc/1177-5483Mohammad Reza Sedghipour,1 Homayoun Sadeghi-Bazargani2,31Nikoukari Ophthalmology University Hospital, Tabriz, Iran; 2Department of Statistics and Epidemiology, Neuroscience Research Center, Tabriz University of Medical Sciences, Tabriz, Iran; 3Department of Public Health Sciences, Karolinska Institute, Stockholm, SwedenBackground: In astigmatism clinical trials where more complex measurements are common, especially in nonrandomized small sized clinical trials, there is a demand for the development and application of newer statistical methods.Methods: The source data belonged to a project on astigmatism treatment. Data were used regarding a total of 296 eyes undergoing different astigmatism treatment modalities: wavefront-guided photorefractive keratectomy, cross-cylinder photorefractive keratectomy, and monotoric (single) photorefractive keratectomy. Astigmatism analysis was primarily done using the Alpins method. Prior to fitting partial least squares regression discriminant analysis, a preliminary principal component analysis was done for data overview. Through fitting the partial least squares regression discriminant analysis statistical method, various model validity and predictability measures were assessed.Results: The model found the patients treated by the wavefront method to be different from the two other treatments both in baseline and outcome measures. Also, the model found that patients treated with the cross-cylinder method versus the single method didn&#39;t appear to be different from each other. This analysis provided an opportunity to compare the three methods while including a substantial number of baseline and outcome variables.Conclusion: Partial least squares regression discriminant analysis had applicability for the statistical analysis of astigmatism clinical trials and it may be used as an adjunct or alternative analysis method in small sized clinical trials.Keywords: astigmatism, regression, partial least squares regression, multivariate regression, discriminant analysisSedghipour MRSadeghi-Bazargani HDove Medical PressarticleOphthalmologyRE1-994ENClinical Ophthalmology, Vol 2012, Iss default, Pp 1499-1506 (2012)
institution	DOAJ
collection	DOAJ
language	EN
topic	Ophthalmology RE1-994
spellingShingle	Ophthalmology RE1-994 Sedghipour MR Sadeghi-Bazargani H Applicability of supervised discriminant analysis models to analyze astigmatism clinical trial data
description	Mohammad Reza Sedghipour,1 Homayoun Sadeghi-Bazargani2,31Nikoukari Ophthalmology University Hospital, Tabriz, Iran; 2Department of Statistics and Epidemiology, Neuroscience Research Center, Tabriz University of Medical Sciences, Tabriz, Iran; 3Department of Public Health Sciences, Karolinska Institute, Stockholm, SwedenBackground: In astigmatism clinical trials where more complex measurements are common, especially in nonrandomized small sized clinical trials, there is a demand for the development and application of newer statistical methods.Methods: The source data belonged to a project on astigmatism treatment. Data were used regarding a total of 296 eyes undergoing different astigmatism treatment modalities: wavefront-guided photorefractive keratectomy, cross-cylinder photorefractive keratectomy, and monotoric (single) photorefractive keratectomy. Astigmatism analysis was primarily done using the Alpins method. Prior to fitting partial least squares regression discriminant analysis, a preliminary principal component analysis was done for data overview. Through fitting the partial least squares regression discriminant analysis statistical method, various model validity and predictability measures were assessed.Results: The model found the patients treated by the wavefront method to be different from the two other treatments both in baseline and outcome measures. Also, the model found that patients treated with the cross-cylinder method versus the single method didn&#39;t appear to be different from each other. This analysis provided an opportunity to compare the three methods while including a substantial number of baseline and outcome variables.Conclusion: Partial least squares regression discriminant analysis had applicability for the statistical analysis of astigmatism clinical trials and it may be used as an adjunct or alternative analysis method in small sized clinical trials.Keywords: astigmatism, regression, partial least squares regression, multivariate regression, discriminant analysis
format	article
author	Sedghipour MR Sadeghi-Bazargani H
author_facet	Sedghipour MR Sadeghi-Bazargani H
author_sort	Sedghipour MR
title	Applicability of supervised discriminant analysis models to analyze astigmatism clinical trial data
title_short	Applicability of supervised discriminant analysis models to analyze astigmatism clinical trial data
title_full	Applicability of supervised discriminant analysis models to analyze astigmatism clinical trial data
title_fullStr	Applicability of supervised discriminant analysis models to analyze astigmatism clinical trial data
title_full_unstemmed	Applicability of supervised discriminant analysis models to analyze astigmatism clinical trial data
title_sort	applicability of supervised discriminant analysis models to analyze astigmatism clinical trial data
publisher	Dove Medical Press
publishDate	2012
url	https://doaj.org/article/e43d460ff93b4d8fb8cbf07100efdcd3
work_keys_str_mv	AT sedghipourmr applicabilityofsuperviseddiscriminantanalysismodelstoanalyzeastigmatismclinicaltrialdata AT sadeghibazarganih applicabilityofsuperviseddiscriminantanalysismodelstoanalyzeastigmatismclinicaltrialdata
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Applicability of supervised discriminant analysis models to analyze astigmatism clinical trial data

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