Combining Evidence from Observational Studies and Population Surveys to Better Predict Cardiovascular Disease Risk
Virtual: Zoom In this presentation, Dr. Goodarz Danaei will discuss emerging approaches to cardiovascular risk prediction and prevention, including the use of causal inference methods and nationally representative data to develop more accurate risk models. He will explore the limitations of existing prediction tools, which often rely on outdated cohort studies or nonrepresentative electronic medical record data, and present new research aimed at improving population-level prevention strategies in the United States and globally.