Briana Joy K Stephenson

Related Links

Biography

My research has been primarily focused in using Bayesian methods to create innovative model-based clustering techniques to address data complexities found in large, heterogeneous populations. These methods were generated as a result of my collaborative research interests in maternal health, nutritional epidemiology, psychological health, public health policy, and health disparities.

Education and Training

• PhD, Biostatistics
  University of North Carolina at Chapel Hill
• MPH, Biostatistics
  George Washington University
• BS, Mathematics
  Massachusetts Institute of Technology

Awards and Honors

• Distinguished Student Paper Award, 2018
• Gillings Dissertation Award for Public Health Impact, 2017
  University of North Carolina at Chapel Hill
• Junior Researcher Award , 2015

Publications

• Comparison of Enhanced Recovery After Surgery (ERAS) metrics by race among gynecologic oncology patients: Ensuring equitable outcomes. Journal of Gynecologic Oncology

  Alimena S, Fallah P, Stephenson B, Feitmate C, Feldman S, Elias KM. (2023). Comparison of Enhanced Recovery After Surgery (ERAS) metrics by race among gynecologic oncology patients: Ensuring equitable outcomes. Journal of Gynecologic Oncology 2025

• Racial and ethnic heterogeneity in diets of low-income adult females in the United States: results from National Health and Nutrition Examination Surveys from 2011 to 2018.

  Stephenson BJK, Willett WC. Am J Clin Nutr 2023 03

• Derivation of maternal dietary patterns accounting for regional heterogeneity

  Stephenson BJK, Herring AH, Olshan AF. Journal of the Royal Statistical Society Series C 2025

• Identifying US County-level characteristics associated with high COVID-19 burden.

  Li D, Gaynor SM, Quick C, Chen JT, Stephenson BJK, Coull BA, Lin X. BMC Public Health 2021 05 28

• The Journal of Nutrition

  Stephenson, B.J., Sotres-Alvarez, D., Siega-Riz, A.M., Mossavar-Rahmani, Y., Daviglus, M.L., Van Horn, L., Herring, A.H. and Cai, J. Empirically Derived Dietary Patterns Using Robust Profile Clustering in the Hispanic Community Health Study/Study of Latinos 2025