Multivariate Regression Analysis Multivariate regression is a very powerful form of data analysis and happens to be more accurate when applied to the real world.

To promote the use of regression modeling in the presence of competing risk events, we illustrate how to perform a multivariable regression analysis using the semiparametric proportional hazards ...

An introduction to the application of modern multivariate methods used in the social sciences, with particular focus on latent variable models for continuous observed variables, and their application ...

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

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.

Enabling multivariate regression analysis is essential because researchers are typically interested in knowing how the probability of answering the sensitive question affirmatively varies as a ...

British Journal of Cancer - Survival Analysis Part II: Multivariate data analysis – an introduction to concepts and methods ...

Learn how to build a multivariate linear regression model step by step—no libraries, just pure C++ logic!

The linear multiple regression model is analyzed assuming the error vector has a multivariate Student-t distribution with zero location vector and scalar dispersion ...