Without multivariate analysis, you are limited to testing only two variables at a time. A classic example of this is A/B testing, which is used in tweaking ads for the best conversion rates.

Course TopicsMultivariate analysis in statistics is a set of useful methods for analyzing data when there are more than one variables under consideration. Multivariate analysis techniques may be used ...

MANOVA is a statistical test that extends the scope of the more commonly used ANOVA, that allows differences between three or more independent groups of explanatory (independent or predictor) ...

Course TopicsMultivariate analysis in statistics is a set of useful methods for analyzing data when there are more than one variable under consideration. Multivariate analysis techniques may be used ...

Multivariate analysis, also known as multivariate monitoring, enables the detection of issues that are invisible when viewing individual parameters. ... Fig. 4: Example & advantages of multivariate ...

Research methods suitable for the analysis of big datasets containing many variables. The fundamentals of data visualisation, customer segmentation, factor analysis and latent class analysis with ...

Downloads. TSD 20: Multivariate meta-analysis of summary data for combining treatment effects on correlated outcomes and evaluating surrogate endpoints (PDF, 1.2MB) – October 2019 – Updated December ...