Join the Society for Epidemiologic Research (SER) and American Heart Association (AHA) for a joint webinar! Members of all organizations are welcome to participate!
Thanks to working group members Alvaro Alonso, Andrew Olshan, Wayne Rosamond for planning the events!
Registration is now closed.
“Emulating target randomized trials to reduce bias in observational studies of comparative effectiveness”
Goodarz Danaei MD ScD
Bernard Lown Associate Professor of Cardiovascular Health
Department of Global Health and Population
Department of Epidemiology
Date: November 20, 2019
Time: 12:00 – 1:00pm EST
Online Web Conference
Dr Danaei is an epidemiologist and global health scientist with eight years of experience in research and teaching. His epidemiological research applies advanced methods of causal inference to questions of comparative effectiveness research from observational data for cardiovascular disease outcomes. He has applied these methods to examine the long-term impact of lifestyle changes or medications on diabetes, myocardial infarction and stroke. He also serves as the faculty director of the Lown Scholars Program, which aims to train a cadre of public health professionals and scientists focusing on preventing cardiovascular diseases in developing countries.
Overview: Observational data including those from electronic health records are increasingly used to assess comparative effectiveness of different interventions. However, conventional methods used in these analyses are prone to several important biases including differential survival bias and inappropriate adjustment for confounders. In this webinar, I will present a novel approach to conceptualize and analyze observational data as if they arose from a hypothetical non-randomized trial, which reduces the potential for bias. I will cover the methods and discuss their application using a clinical example from cardiovascular disease prevention.