SER-IAPHS Collaboration

Join the Society for Epidemiologic Research (SER) and Interdisciplinary Association for Population Health Science (IAPHS) for a joint webinar! Members of all organizations are welcome to participate!

 

Thanks to working group members Allison Aiello, David Savitz, Amanda Simanek, Gregory Sharp for planning the events!

“Intersections Between Econometric and Epidemiologic Methods for Assessing Impact of Policies and Interventions on Population Health”

 

Drs. Tim Bruckner and Rita Hamad

 

Date: April 29, 2020
Time: 12:00 – 1:00pm EST
Online Web Conference

“Interrupted Time-Series Designs for Policy and Intervention Analysis”

Tim Bruckner is an Associate Professor of Public Health, and co-Director of the Center for Population, Inequality, and Policy, at UC Irvine. He is a population health scholar with training in epidemiology and health policy from UC Berkeley. Tim holds subject-matter interests in perinatal epidemiology and mental health policy. In past work he has examined how ambient shocks (e.g., income transfers, state policies, economic downturns, terrorist attacks) affect health. Much of his analyses involve the use of interrupted time-series methods which, although originally developed for use in engineering and economics, have become increasingly popular in epidemiology. Tim has published over 100 articles and currently receives support for his research from NIMH and NIAID.

“Instrumental variables and difference-in-differences analysis for policy evaluation”

Dr. Rita Hamad is a social epidemiologist and family physician in the Philip R. Lee Institute for Health Policy Studies and the Department of Family & Community Medicine at the University of California San Francisco. As the director of the Social Policies for Health Equity Research Program (https://sphere.ucsf.edu), her research focuses on the pathways linking poverty and education with health disparities across the life course. In particular, she studies the health effects of social and economic policies using interdisciplinary quasi-experimental methods. She also investigates the mechanisms through which adverse socioeconomic conditions get “under the skin” to cause disease. Read more

OVERVIEW: Many epidemiologists are interested in teasing apart the causal effects of upstream social or economic factors on health outcomes at the population level. Integration of methodologic approaches borrowed from the field of econometrics into epidemiologic research can be useful to overcome limitations of observational study designs which primarily rely on adjustment for confounding factors in the data analysis phase and may fall short of adequately reducing bias. The purpose of this joint SER and IAPHS symposium is to discuss several applications of econometric methods including use of interrupted time-series designs, instrumental variables and difference-in-difference analyses which can serve as tools for epidemiologists wanting to improve causal inference regarding the effect of social policies and/or interventions on population health.