OPLS statistical model versus linear regression to assess sonographic predictors of stroke prognosis

Kianoush Fathi Vajargah,1 Homayoun Sadeghi-Bazargani,2,3 Robab Mehdizadeh-Esfanjani,4 Daryoush Savadi-Oskouei,4 Mehdi Farhoudi41Department of Statistics, Islamic Azad University, Tehran, North Branch, 2Neuroscience Research Center, Department of Statistics and Epidemiology, Tabriz University of Medi...

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Autores principales:	Fathi Vajargah K, Sadeghi-Bazargani H, Mehdizadeh-Esfanjani R, Savadi-Oskouei D, Farhoudi M
Formato:	article
Lenguaje:	EN
Publicado:	Dove Medical Press 2012
Materias:	Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571 Neurology. Diseases of the nervous system RC346-429
Acceso en línea:	https://doaj.org/article/8bc8e101e7e64b6b9ba9aab3ca71a1b5
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spelling	oai:doaj.org-article:8bc8e101e7e64b6b9ba9aab3ca71a1b52021-12-02T05:55:45ZOPLS statistical model versus linear regression to assess sonographic predictors of stroke prognosis1176-63281178-2021https://doaj.org/article/8bc8e101e7e64b6b9ba9aab3ca71a1b52012-08-01T00:00:00Zhttp://www.dovepress.com/opls-statistical-model-versus-linear-regression-to-assess-sonographic--a10866https://doaj.org/toc/1176-6328https://doaj.org/toc/1178-2021Kianoush Fathi Vajargah,1 Homayoun Sadeghi-Bazargani,2,3 Robab Mehdizadeh-Esfanjani,4 Daryoush Savadi-Oskouei,4 Mehdi Farhoudi41Department of Statistics, Islamic Azad University, Tehran, North Branch, 2Neuroscience Research Center, Department of Statistics and Epidemiology, Tabriz University of Medical Sciences, Tabriz, Iran; 3Public Health Department, Karolinska Institute, Stockholm, Sweden; 4Neuroscience Research Center, Tabriz University of Medical Sciences, Tabriz, IranAbstract: The objective of the present study was to assess the comparable applicability of orthogonal projections to latent structures (OPLS) statistical model vs traditional linear regression in order to investigate the role of trans cranial doppler (TCD) sonography in predicting ischemic stroke prognosis. The study was conducted on 116 ischemic stroke patients admitted to a specialty neurology ward. The Unified Neurological Stroke Scale was used once for clinical evaluation on the first week of admission and again six months later. All data was primarily analyzed using simple linear regression and later considered for multivariate analysis using PLS/OPLS models through the SIMCA P+12 statistical software package. The linear regression analysis results used for the identification of TCD predictors of stroke prognosis were confirmed through the OPLS modeling technique. Moreover, in comparison to linear regression, the OPLS model appeared to have higher sensitivity in detecting the predictors of ischemic stroke prognosis and detected several more predictors. Applying the OPLS model made it possible to use both single TCD measures/indicators and arbitrarily dichotomized measures of TCD single vessel involvement as well as the overall TCD result. In conclusion, the authors recommend PLS/OPLS methods as complementary rather than alternative to the available classical regression models such as linear regression.Keywords: Prognostic study, trans cranial doppler, partial least squares regression, orthogonal projections to latent structures, multicolinearityFathi Vajargah KSadeghi-Bazargani HMehdizadeh-Esfanjani RSavadi-Oskouei DFarhoudi MDove Medical PressarticleNeurosciences. Biological psychiatry. NeuropsychiatryRC321-571Neurology. Diseases of the nervous systemRC346-429ENNeuropsychiatric Disease and Treatment, Vol 2012, Iss default, Pp 387-392 (2012)
institution	DOAJ
collection	DOAJ
language	EN
topic	Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571 Neurology. Diseases of the nervous system RC346-429
spellingShingle	Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571 Neurology. Diseases of the nervous system RC346-429 Fathi Vajargah K Sadeghi-Bazargani H Mehdizadeh-Esfanjani R Savadi-Oskouei D Farhoudi M OPLS statistical model versus linear regression to assess sonographic predictors of stroke prognosis
description	Kianoush Fathi Vajargah,1 Homayoun Sadeghi-Bazargani,2,3 Robab Mehdizadeh-Esfanjani,4 Daryoush Savadi-Oskouei,4 Mehdi Farhoudi41Department of Statistics, Islamic Azad University, Tehran, North Branch, 2Neuroscience Research Center, Department of Statistics and Epidemiology, Tabriz University of Medical Sciences, Tabriz, Iran; 3Public Health Department, Karolinska Institute, Stockholm, Sweden; 4Neuroscience Research Center, Tabriz University of Medical Sciences, Tabriz, IranAbstract: The objective of the present study was to assess the comparable applicability of orthogonal projections to latent structures (OPLS) statistical model vs traditional linear regression in order to investigate the role of trans cranial doppler (TCD) sonography in predicting ischemic stroke prognosis. The study was conducted on 116 ischemic stroke patients admitted to a specialty neurology ward. The Unified Neurological Stroke Scale was used once for clinical evaluation on the first week of admission and again six months later. All data was primarily analyzed using simple linear regression and later considered for multivariate analysis using PLS/OPLS models through the SIMCA P+12 statistical software package. The linear regression analysis results used for the identification of TCD predictors of stroke prognosis were confirmed through the OPLS modeling technique. Moreover, in comparison to linear regression, the OPLS model appeared to have higher sensitivity in detecting the predictors of ischemic stroke prognosis and detected several more predictors. Applying the OPLS model made it possible to use both single TCD measures/indicators and arbitrarily dichotomized measures of TCD single vessel involvement as well as the overall TCD result. In conclusion, the authors recommend PLS/OPLS methods as complementary rather than alternative to the available classical regression models such as linear regression.Keywords: Prognostic study, trans cranial doppler, partial least squares regression, orthogonal projections to latent structures, multicolinearity
format	article
author	Fathi Vajargah K Sadeghi-Bazargani H Mehdizadeh-Esfanjani R Savadi-Oskouei D Farhoudi M
author_facet	Fathi Vajargah K Sadeghi-Bazargani H Mehdizadeh-Esfanjani R Savadi-Oskouei D Farhoudi M
author_sort	Fathi Vajargah K
title	OPLS statistical model versus linear regression to assess sonographic predictors of stroke prognosis
title_short	OPLS statistical model versus linear regression to assess sonographic predictors of stroke prognosis
title_full	OPLS statistical model versus linear regression to assess sonographic predictors of stroke prognosis
title_fullStr	OPLS statistical model versus linear regression to assess sonographic predictors of stroke prognosis
title_full_unstemmed	OPLS statistical model versus linear regression to assess sonographic predictors of stroke prognosis
title_sort	opls statistical model versus linear regression to assess sonographic predictors of stroke prognosis
publisher	Dove Medical Press
publishDate	2012
url	https://doaj.org/article/8bc8e101e7e64b6b9ba9aab3ca71a1b5
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_version_	1718400182250373120

OPLS statistical model versus linear regression to assess sonographic predictors of stroke prognosis

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