Combining Evidence from Observational Studies and Population Surveys to Better Predict Cardiovascular Disease Risk

Published on June 9, 2026

Tue., June 9, 2026, 12 – 1 p.m.

Promotional Image with event title and picture of a heart monitor in the background.

Cardiovascular diseases (CVD) remain the leading cause of death worldwide. Although CVD mortality declined substantially over the past five decades, progress in the United States has slowed since 2010. Reviving these gains will require more effective implementation of prevention strategies, including improved methods for identifying individuals at highest risk.

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 He will explore the limitations of existing prediction tools, which often rely on outdated cohort studies or nonrepresentative electronic medical record data, and present new research aimed at improving population-level prevention strategies in the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.

This webinar is free and open to the public and will include time for audience Q&A.

Online Locationglobalhealth.harvard.edu…
Gazette Classification: Diversity and Inclusion, Health Sciences, Mental Health / Wellness, Research study
Organization/Sponsor: Harvard Global Health Institute
Speaker(s)Goodarz Danaei, MD, Bernard Lown Professor of Cardiovascular Health, Global Health and Population, Harvard T.H. Chan School of Public Health; Faculty Director, Bernard Lown Scholars in Cardiovascular Health Program
Contact Info[email protected]
Harvard Key Required: No
More infoglobalhealth.harvard.edu…