June 21, 2017

Songthip Ounpraseuth, PhD

Professor
 

Other Academic/Research/Policy Affiliations

Member: Graduate Faculty
Member: American Statistical Association, International Biometric Society, Society for Clinical Trials, Institute of Mathematical Statistics, International Society for Bayesian Analysis

Education

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

Research Interest

Computational Statistics, Prediction Error Estimation, Dimension Reduction & Classification, Selection Bias

Current Research Projects

  • Evaluation of the ANGELS High Risk Pregnancy Program (PI: Lowry – ADH)
  • Identifying Quality Indicators for Substance Use Disorders (PI: Hudson)

Courses Taught

BIOS 5223/6223 Biostatistics III
BIOS 5233 Statistical Methods for Clinical Trials

Recent Publications

Heo S, Moser DK, Lennie TA, Fischer M, Kim J, Walsh MN,Ounpraseuth ST.Prediction of Heart Failure Symptoms and Health-Related Quality of Life at 12Months from Baseline Modifiable Factors in Patients with Heart Failure.Journal of Cardiovascular Nursing(In press).

Hughes D, Magann EF, Whittington J, Wendel M, Ounpraseuth ST. Accuracy of the Ultrasound Estimate of Amniotic Fluid Volume (Amniotic Fluid Index and Single Deepest Pocket) to Identify Actual Low, Normal and High AmnioticFluid Volume as Determined by Quantile Regression.Journal of Ultrasound in Medicine. 2019 Aug 18. doi:10.1002/jum.15116. [Epub ahead of print]. PMID:31423632

Easom A, Shukla A, Rotaru D, Ounpraseuth ST, Shah S, et al. Home run- Results of a Chronic Kidney Disease Telemedicine Patient Education Study.Clinical Kidney Journal. (accepted 7-5-19).

Kim JK, Shin MS, Park YM, Lee HN, Heo S, Ounpraseuth ST. Associations of Advance Directive Knowledge, Attitudes, and Barriers/Benefits with Preferences for Advance Treatment Directives among Patients with Heart Failure and their Caregivers.Journal of Cardiac Failure. 2019 Jul 22. pii: S1071-9164(19)30062-4. doi:10.1016/j.cardfail.2019.07.011. [Epub ahead of print]. PMID: 31344402

Rabie NZ, Sandlin AT, Ounpraseuth ST, Nembhard W, Lowery C, San MiguelK, Magann EF. Teleultrasound for Prenatal Diagnosis: A Validation Study.Aus-tralasian Journal of Ultrasound in Medicine.(Accepted June 17, 2019)

 

See Songthip Ounpraseuth’s Faculty Profile with the Department of Biostatistics.