In multivariate regression, a K -dimensional response vector is regressed upon a common set of p covariates, with a matrix B* ∈ ℝ p×K of regression coefficients. We study the behavior of the ...

Multivariate adaptive regression splines (MARS) have useful features to effectively reduce the number of terms in a model.

Multivariate meta-regression models are commonly used in settings where the response variable is naturally multidimensional. Such settings are common in cardiovascular and diabetes studies where the ...

A multivariate logistic regression model based on 3T mpMRI, clinical, and biopsy parameters for the prediction of prostate cancer extracapsular extension.

This article will cover the theory underpinning multivariate analysis of variance (MANOVA), which expands on the capabilities of ANOVA, the types of MANOVA and a worked example of the test.

Multivariate analysis uses statistical tools such as multiple regression analysis, cluster analysis and conjoint analysis to determine the relationships between factors.