Regression models are fundamental in epidemiology for identifying associations between exposures and outcomes. These models can adjust for potential confounders, making them invaluable for observational studies. Common types include: - Linear regression: Used for continuous outcomes. - Logistic regression: Used for binary outcomes. - Poisson regression: Often used for count data such as the number of new cases in an outbreak.