title: Multivariable analysis in cerebrovascular research: practical notes for the clinician.
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.
authors: Department of Internal Medicine, University of Perugia, Perugia, Italy. paolo@unipg.it
authors: Gianpaolo
authors: G
authors: Reboldi
authors: Fabio
authors: F
authors: Angeli
authors: Paolo
authors: P
authors: Verdecchia
mesh_terms: D035843:Biomedical Research / Q000706:statistics & numerical data*; D002561:Cerebrovascular Disorders / Q000175:diagnosis / Q000401:mortality / Q000628:therapy; D016009:Chi-Square Distribution; D015986:Confounding Factors, Epidemiologic; D003627:Data Interpretation, Statistical; D006801:Humans; D016014:Linear Models; D016015:Logistic Models; D015233:Models, Statistical; D015999:Multivariate Analysis; D016017:Odds Ratio; D011379:Prognosis; D016016:Proportional Hazards Models; D012307:Risk Factors; D016019:Survival Analysis