Multivariable analysis in cerebrovascular research: practical notes for the clinician.
G. Reboldi, F. Angeli, and P. Verdecchia. Cerebrovascular diseases (Basel, Switzerland), 35 (2):
187-93(January 2013)7435<m:linebreak></m:linebreak>CI: Copyright (c) 2013; JID: 9100851; CIN: Cerebrovasc Dis. 2013;35(2):186. PMID: 23429278; 2012/08/07 received; 2012/10/24 accepted; 2013/02/21 aheadofprint; ppublish;<m:linebreak></m:linebreak>Anàlisi de dades; Introductori; Neurologia.
DOI: 10.1159/000345491
Abstract
The term 'multivariate analysis' is often used when one is referring to a multivariable analysis. 'Multivariate', however, implies a statistical analysis with multiple outcomes. In contrast, multivariable analysis is a statistical tool for determining the relative contributions of various factors to a single event or outcome. The purpose of this article is to focus on analyses where multiple predictors are considered. Such an analysis is in contrast to a univariable (or 'simple') analysis, where single predictor variables are considered. We review the basics of multivariable analyses, what assumptions underline them and how they should be interpreted and evaluated.
%0 Journal Article
%1 Reboldi2013
%A Reboldi, Gianpaolo
%A Angeli, Fabio
%A Verdecchia, Paolo
%D 2013
%J Cerebrovascular diseases (Basel, Switzerland)
%K BiomedicalResearch BiomedicalResearch:statistics&numericaldata CerebrovascularDisorders CerebrovascularDisorders:diagnosis CerebrovascularDisorders:mortality CerebrovascularDisorders:therapy Chi-SquareDistribution ConfoundingFactors(Epidemiology) DataInterpretation Humans LinearModels LogisticModels Models MultivariateAnalysis OddsRatio Prognosis ProportionalHazardsModels RiskFactors Statistical SurvivalAnalysis
%N 2
%P 187-93
%R 10.1159/000345491
%T Multivariable analysis in cerebrovascular research: practical notes for the clinician.
%U http://www.ncbi.nlm.nih.gov/pubmed/23429297
%V 35
%X The term 'multivariate analysis' is often used when one is referring to a multivariable analysis. 'Multivariate', however, implies a statistical analysis with multiple outcomes. In contrast, multivariable analysis is a statistical tool for determining the relative contributions of various factors to a single event or outcome. The purpose of this article is to focus on analyses where multiple predictors are considered. Such an analysis is in contrast to a univariable (or 'simple') analysis, where single predictor variables are considered. We review the basics of multivariable analyses, what assumptions underline them and how they should be interpreted and evaluated.
%@ 1421-9786; 1015-9770
@article{Reboldi2013,
abstract = {The term 'multivariate analysis' is often used when one is referring to a multivariable analysis. 'Multivariate', however, implies a statistical analysis with multiple outcomes. In contrast, multivariable analysis is a statistical tool for determining the relative contributions of various factors to a single event or outcome. The purpose of this article is to focus on analyses where multiple predictors are considered. Such an analysis is in contrast to a univariable (or 'simple') analysis, where single predictor variables are considered. We review the basics of multivariable analyses, what assumptions underline them and how they should be interpreted and evaluated.},
added-at = {2023-02-03T11:44:35.000+0100},
author = {Reboldi, Gianpaolo and Angeli, Fabio and Verdecchia, Paolo},
biburl = {https://www.bibsonomy.org/bibtex/21bd73ba06624b0a3e27d16eb8201b168/jepcastel},
city = {Department of Internal Medicine, University of Perugia, Perugia, Italy. paolo@unipg.it},
doi = {10.1159/000345491},
interhash = {b06c49efafa606696b86940f406039f7},
intrahash = {1bd73ba06624b0a3e27d16eb8201b168},
isbn = {1421-9786; 1015-9770},
issn = {1421-9786},
journal = {Cerebrovascular diseases (Basel, Switzerland)},
keywords = {BiomedicalResearch BiomedicalResearch:statistics&numericaldata CerebrovascularDisorders CerebrovascularDisorders:diagnosis CerebrovascularDisorders:mortality CerebrovascularDisorders:therapy Chi-SquareDistribution ConfoundingFactors(Epidemiology) DataInterpretation Humans LinearModels LogisticModels Models MultivariateAnalysis OddsRatio Prognosis ProportionalHazardsModels RiskFactors Statistical SurvivalAnalysis},
month = {1},
note = {7435<m:linebreak></m:linebreak>CI: Copyright (c) 2013; JID: 9100851; CIN: Cerebrovasc Dis. 2013;35(2):186. PMID: 23429278; 2012/08/07 [received]; 2012/10/24 [accepted]; 2013/02/21 [aheadofprint]; ppublish;<m:linebreak></m:linebreak>Anàlisi de dades; Introductori; Neurologia},
number = 2,
pages = {187-93},
pmid = {23429297},
timestamp = {2023-02-03T11:44:35.000+0100},
title = {Multivariable analysis in cerebrovascular research: practical notes for the clinician.},
url = {http://www.ncbi.nlm.nih.gov/pubmed/23429297},
volume = 35,
year = 2013
}