For more than 58 years, the Summer Session in Epidemiology at the University of Michigan has been one of the nation's most highly regarded summer epidemiology programs. The program can give you a career boost in just one to three intensive weeks. The Summer Session in Epidemiology (SSE) is designed for public health and healthcare professionals, researchers, and others who want to build a foundation in epidemiologic science. A background in public health, biostatistics or epidemiology is helpful but not required. After completing this activity, participants will be able to understand and utilize the central principles of research in clinical populations, including study design, analysis of Biostatistics, and causal inference. After completing this activity, participants will be able to understand and utilize the central principles of research in clinical populations, including study design, analysis of Biostatistics, and causal inference.
Summer Session in EpidemiologySummer Session in Epidemiology Registration
July 9, 2023
1:00 am - 5:00 pm
Online
Sponsored by: Summer Session in Epidemiology
Contact Information: [email protected]
Cost: Contact SSE Personnel for Registration fee information
This program or event is open to the alumni community
More Information & Registration
For more than 58 years, the Summer Session in Epidemiology at the University of Michigan has been one of the nation's most highly regarded summer epidemiology programs. The program can give you a career boost in just one to three intensive weeks. The Summer Session in Epidemiology (SSE) is designed for public health and healthcare professionals, researchers, and others who want to build a foundation in epidemiologic science. A background in public health, biostatistics or epidemiology is helpful but not required. After completing this activity, participants will be able to understand and utilize the central principles of research in clinical populations, including study design, analysis of Biostatistics, and causal inference. After completing this activity, participants will be able to understand and utilize the central principles of research in clinical populations, including study design, analysis of Biostatistics, and causal inference.
