Multivariate analysis allows researchers to understand the relationship between multiple variables simultaneously. Techniques like logistic regression and principal component analysis (PCA) are frequently used. Logistic regression helps in assessing the impact of various factors on the likelihood of an event, such as cancer onset, while PCA reduces the dimensionality of data, making it easier to identify patterns and trends.
