- Location
- Webinars will be held via Zoom, details will be sent to all registered participants.
- Series/Type
- Alumni Event, DLSPH Event, Faculty/Staff Event, Student Event
- Format
- Online
- Dates
- December 4, 2024 from 11:00am to 12:00pm
Links
About the Event
Description:
Healthy worker survivor bias can result in under-estimating or completely missing the effects of harmful, protracted exposures that occur in the workplace. Modern causal inference frameworks have clarified the sources of this bias and have given some solutions for addressing this bias during analysis of cohort studies. In this talk, I discuss why our usual analysis methods often fail to reduce healthy worker survivor bias and demonstrate, with code, recent advances in methods to address it.
Guest speaker: Dr. Alexander P. Keil
Dr. Keil joined DCEG as an Earl Stadtman Investigator in the Occupational and Environmental Epidemiology Branch (OEEB) in May 2022. He earned an M.S.P.H. in epidemiology in 2010 and a Ph.D. in epidemiology in 2014, both from the University of North Carolina (UNC) at Chapel Hill. Prior to joining DCEG, Dr. Keil served at UNC as a postdoctoral fellow until 2016, then as a Research Assistant Professor until May 2022. He has received numerous awards for his work, including the EPICOH Young Investigator Award, a Rising Star award from the UNC Center for Environmental Health and Susceptibility, and a Paper of the Year award from the American Journal of Epidemiology.