Bonnie Shook-Sa, DrPH
Bonnie Shook-Sa is an assistant professor in the Department of Biostatistics at UNC. She is affiliated with the Collaborative Studies Coordinating Center (CSCC) and is a participating faculty member with the Center for AIDS Research (CFAR) Biostatistics Core. She has over 12 years of experience in collaborative public health research and statistical methods development. Her research interests include survey sampling and causal inference methods. Her collaborative research has spanned numerous areas of public health, including infectious disease (HIV and SARS-CoV-2), victimization and criminal justice, drug use, and tobacco consumption.
Bonnie Shook-Sa in the Gillings News
- New study examines COVID-19 cases among UNC students during Fall 2020
- A single vaccine dose may offer protection to those who have had COVID-19
- UNC researchers discuss pitfalls of convenience samples for COVID-19 antibody testing
- Many LGBT individuals believe HIV, AIDS are priority concern over other chronic diseases that affect LGBT communities
- UNC awarded $2.91 million to create new ultra-long-acting HIV drug delivery implant
Honors and Awards
Barry H. Margolin Award for Excellence in Doctoral Research in Biostatistics
2021, UNC Department of Biostatistics
2020, Public Health Honorary Society
Special Commendation, Doctoral Applications Exam
2018, UNC Department of Biostatistics
BIOS664: Sample Survey Methodology
Causal Inference, Survey Sampling, Infectious Diseases, Epidemiology
Power and Sample Size for Observational Studies of Point Exposure Effects. Shook-Sa BE and Hudgens MG (2020). Biometrics.
Estimation without Representation: Early SARS-CoV-2 Seroprevalence Studies and the Path Forward. Shook-Sa BE, Boyce RM, Aiello AE (2020). The Journal of Infectious Diseases, 222(7), 1086-1089.
Maintaining Precision in Survey Estimates while Adjusting for Conditional Bias at the Subnational Level through Calibration Weighting. Shook-Sa BE, Kott P, Berzofsky M, Couzens L, Moore A, Lee P, Langton L, Planty M. (2017). Survey Research Methods, 11(4), 405-414.
Extending the Coverage of Address-Based Sampling Frames: Beyond the USPS Computerized Delivery Sequence File. Shook-Sa BE, Currivan DB, McMichael JP, Iannacchione VG (2013). Public Opinion Quarterly, 77(4), 994-1005.
- DrPH, Biostatistics, University of North Carolina, Chapel Hill, 2020
- MAS, Applied Statistics, Graduate Interdisciplinary Specialization in Survey Research, Ohio State University, 2008
- BS, Mathematics, Marshall University, 2006
- BA, Political Science, Marshall University, 2006