Self, Stella Coker Watson
Assistant Professor
Stella Self is interested in Bayesian spatio-temporal modeling, spatial clustering analysis, disease forecasting, random effects models, and Markov chain Monte Carlo methods. Her work has applications to vector borne disease, ecology, conservation, and maternal-neonatal health. She frequently collaborates with researchers at Prisma Health-Upstate.
Biographical Profile
- College
- Arnold School of Public Health
- Department
- Epidemiology & Biostatistics
- Tenure Status
- Tenure Track
Interest Background
- Interest Keywords
- Bayesian spatio-temporal modeling, spatial clustering analysis, disease forecasting, random effects models, Markov chain Monte Carlo methods
- Personal Focus Areas
- applications to vector borne disease, ecology, conservation, and maternal-neonatal health
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