The Department of Population Health Sciences at the Medical College of Georgia at Augusta University was established in 2017 to strengthen the public medical school’s impact on the health of Georgia.
The broader mission of the department is to understand, preserve and improve the health human populations through research, training and community engagement, especially focusing on the health of Georgians. It will enable scientists and educators to pursue and share a more comprehensive perspective on who are getting sick, what they have and why, and which targeted interventions and treatments are most effective for them.
The mission of our biostatistics program is to advance knowledge in the fields of biostatistics, and to provide leadership and scholarship in research, teaching and mentoring, for the advancement of biomedical science and improvement of human health.
We study the distributions and determinants of diseases and health conditions in populations.
The HEM division was created in response to the growing need among medical professionals, health care researchers and students for support in health economic evaluations and health care modeling.
Supported by the National Science Foundation, the workshop, “Emerging Data Science Methods for Complex Biomedical and Cyber Data,” will take place on March 26-27 at the Georgia Cyber Center.
MCG investigators working on associating a protein profile in the eye's fluid with obvious structural damage to the eye glaucoma causes. They think that may lead to early detection and new treatment targets for the leading cause of blindness worldwide.
MCG scientists hope non-invasive and better tests that measure a gene variant commonly found in bladder cancer could help improve patient outcomes.
Dr. Arni Rao is leading coeditor of the two new reference books devoted to a particular topic in statistics and addressed to those who use statistical methodology in their work.
Assistance in design of clinical trials, experimental design, power and sample size estimation, randomization, data management, modeling, data analysis, interpretation and manuscript preparation.
