Multivariable models are statistical tools used to assess the relationship between multiple risk factors and health outcomes simultaneously. Common models include:
1. Logistic Regression: Used for binary outcomes, it estimates the odds of an event occurring based on predictor variables. 2. Cox Proportional Hazards Model: Used in cohort studies to assess the impact of multiple risk factors on the time to an event, such as disease occurrence.
