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.
Starting with early childhood, otherwise healthy Black people show signs of slightly diminished heart muscle strength and a slightly higher blood pressure than their white counterparts, possibly putting them on a course for early development of congestive heart failure.
Dr. Arni Rao and his co-authors instead suggest more of a dynamic, moment in time approach using a model called the geometric mean. That model uses today’s number to predict tomorrow’s numbers.
A young cancer epidemiologist who has already helped identify hotspots for geographic, racial and ethnic disparities in breast cancer mortality in the United States is now looking at mammography screening rates in those hotspots.
A new study looks at just how much the stress of financial hardship caused by cancer care and treatment can affect a patient’s emotional, mental and physical well-being.
Assistance in design of clinical trials, experimental design, power and sample size estimation, randomization, data management, modeling, data analysis, interpretation and manuscript preparation.
