Statistical models, such as regression analysis and Bayesian models, are foundational tools in epidemiology. These models help in understanding the relationship between risk factors and health outcomes. For instance, regression models can quantify the impact of different variables like age, gender, and lifestyle on the incidence of a disease. Bayesian models, on the other hand, allow for the incorporation of prior knowledge and can update predictions as new data becomes available.
