Multivariable Analysis in Cerebrovascular Research: Practical Notes for the Clinician
Author(s) -
Gianpaolo Reboldi,
Fabio Angeli,
Paolo Verdecchia
Publication year - 2013
Publication title -
cerebrovascular diseases
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.221
H-Index - 104
eISSN - 1421-9786
pISSN - 1015-9770
DOI - 10.1159/000345491
Subject(s) - multivariable calculus , medicine , multivariate analysis , contrast (vision) , multivariate statistics , outcome (game theory) , focus (optics) , statistics , artificial intelligence , mathematics , computer science , physics , mathematical economics , optics , control engineering , engineering
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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