Artikel,

Multivariable analysis in cerebrovascular research: practical notes for the clinician.

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Cerebrovascular diseases (Basel, Switzerland), 35 (2): 187-93 (Januar 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

Zusammenfassung

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.

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