In epidemiology, researchers often deal with large datasets that include various types of data, such as demographic information, clinical measurements, and genetic data. PCA helps to:
Reduce dimensionality of the data Identify patterns and correlations Eliminate multicollinearity Enhance data visualization Improve the performance of predictive models
