Songthip Ounpraseuth

Songthip Ounpraseuth is a Professor in the Department of Biostatistics at the Fay W. Boozman College of Public Health, University of Arkansas for Medical Sciences (UAMS). Their research focuses on computational statistics, prediction error estimation, dimension reduction, and selection bias. Dr. Ounpraseuth is a member of the Graduate Faculty and affiliated with professional societies including the American Statistical Association and Society for Clinical Trials.

Education:

• Ph.D. (Statistics), Baylor University, 2006
• MS (Statistics), University of Arkansas, 2000
• BS (Mathematics), University of Arkansas, 1998

Research Interests
Dr. Ounpraseuth’s work emphasizes statistical methodologies applied to clinical and healthcare challenges. Current projects include evaluating the ANGELS High Risk Pregnancy Program and identifying quality indicators for substance use disorders. Their computational approaches address complex data structures in healthcare outcomes and clinical trials.

Recent publications highlight telemedicine applications in chronic kidney disease, prenatal ultrasound accuracy, and heart failure patient outcomes. These studies reflect a focus on bridging statistical innovation with practical clinical solutions.

Notable collaborations include leadership on NIH-funded projects and contributions to interdisciplinary teams in maternal-fetal medicine and cardiology. Dr. Ounpraseuth teaches advanced biostatistics courses, including BIOS 5223/6223 Biostatistics III and BIOS 5233 Statistical Methods for Clinical Trials.