Multivariate statistical methods involve the analysis of data that includes more than one variable. These methods are essential in toxicology because they can handle the complexity and interrelationships inherent in biological data. Common techniques include Principal Component Analysis (PCA), cluster analysis, discriminant analysis, and multivariate regression. These approaches help in dimensionality reduction, pattern recognition, and classification, providing a clearer understanding of how different factors contribute to toxicological outcomes.
