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.
BIOSTATISTICS & DATA SCIENCE
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.
EPIDEMIOLOGY
We study the distributions and determinants of diseases and health conditions in populations.
HEALTH ECONOMICS & POLICY
The HEP 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.
One day a tear fluid workup could be as routine as bloodwork during a physical exam as well as in diagnosing a myriad of conditions, from dry eye disease to Alzheimer’s.
High housing costs, frequent moves and homelessness are higher among cancer survivors and can negatively affect their long-term care, according to a new study by the Medical College of Georgia.
The goal of the workshop is to educate and empower graduate students, postdoctoral fellows and early-career researchers and faculty members with emerging statistical methods to address the complex data arising from various fields, including from biomedical and cyber sciences.
"We're so excited to be partnering with AU to really make this robust and to serve our community and to serve our people and keep them safe and healthy."
Assistance in design of clinical trials, experimental design, power and sample size estimation, randomization, data management, modeling, data analysis, interpretation and manuscript preparation.
