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Cerebrovascular diseases · Jan 2013
ReviewMultivariable analysis in cerebrovascular research: practical notes for the clinician.
- Gianpaolo Reboldi, Fabio Angeli, and Paolo Verdecchia.
- Department of Internal Medicine, University of Perugia, Perugia, Italy. paolo@unipg.it
- Cerebrovasc. Dis. 2013 Jan 1;35(2):187-93.
AbstractThe 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.Copyright © 2013 S. Karger AG, Basel.
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