What Types of Regression Analysis are Used in Epidemiology?
Several types of regression analyses are commonly used in epidemiology:
Linear Regression: Used when the dependent variable is continuous. It helps to understand the relationship between one or more continuous or categorical independent variables and a continuous dependent variable. Logistic Regression: Used when the dependent variable is binary (e.g., presence or absence of disease). It estimates the odds of the outcome occurring based on the independent variables. Cox Proportional Hazards Model: Used for time-to-event data, commonly in survival analysis. It examines the effect of variables on the time until an event occurs. Poisson Regression: Suitable for count data, such as the number of new cases of a disease in a specific period.
