معرفی
Elizabeth Schifano is an Associate Professor in the Department of Statistics at the University of Connecticut. She focuses on biostatistics, statistical genomics, and high-dimensional data analysis with applications in medical research and genetic studies. Her work addresses complex challenges in missing data imputation, longitudinal studies, and variable selection in high-dimensional genomic datasets.
Research Interests:
- Development of Bayesian methods for nonignorable missing data in clinical trials
- Statistical methodologies for analyzing SNP sets in genetic association studies
- Online updating algorithms for streaming big data
- Survival analysis with monotone partial likelihood
Publications reflect her expertise in statistical genomics and advanced computational methods. She collaborates with researchers in public health and biomedical sciences to advance methodological innovations in data analysis.
Office: AUST 317 | Contact: (860) 486-6143
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