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SERtalks – North Carolina

 SERtalks – North Carolina


“Applications of Causal Inference Methods in Four Substantive Areas:  New methods, what works (and what doesn’t), and future directions”


September 27, 2017
9:00am – 12:00pm

 

This event is sponsored by the Department of Epidemiology, Gillings School of Global Public Health.

Registration is full. Individuals wishing to attend, may check in at the registration desk on the day of the event to see if additional space has become available.

 
This event is an in-person event. The event recording may be made available on the SER website at the conclusion of the SERtalks.

Location:

UNC Gillings School of Global Public Health
Blue Cross and Blue Shield Auditorium
Michael Hooker Research Center
Ground Floor, Room 0001

Campus map:  https://maps.unc.edu/
Department’s campus map, click here  
Parking for a fee in the Dogwood Deck (170 Manning Drive, Chapel Hill, NC  27599)

Coordinator: Dana K. Pasquale

Speakers:

Daniel Westreich, PhD
Associate Professor, Department of Epidemiology

Stephen R. Cole, PhD
Professor, Department of Epidemiology

Alexander P. Keil, PhD
Research Assistant Professor, Department of Epidemiology

 

 

Whitney R. Robinson, PhD
Assistant Professor, Department of Epidemiology
Co-Leader, UNC Social Epidemiology Program

Til Stürmer, MD, PhD
Professor, Department of Epidemiology
Director, Center for Pharmacoepidemiology

Jennifer L. Lund, PhD
Assistant Professor, Department of Epidemiology

All of the speakers are faculty affiliated with UNC Gillings School of Global Public Health, Department of Epidemiology

OVERVIEW

The field of causal inference has evolved rapidly and novel methods are being developed and applied to address specific research questions across different substantive areas of epidemiology.  This session will delve into the application of causal inference methods in 4 four substantive areas, including: (1) infectious disease epidemiology, (2) occupational and environmental epidemiology, (3) social epidemiology, and (4) pharmacoepidemiology. Speakers with expertise in each area will discuss approaches and their application, interpretation within specific substantive areas, and the directions epidemiologists will pursue to advance causal inference methods.