Regression analysis is used to understand the relationship between independent variables (e.g., age, genetic factors, lifestyle) and dependent variables (e.g., cancer incidence, survival rates). Linear regression models are used for continuous outcomes, while logistic regression is used for binary outcomes. These models help identify risk factors for cancer and evaluate the impact of different variables on patient outcomes.
