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22:00 UTC
S123 - Borrowing Strength: Statistical Strategies for Imperfect Data
Tuesday October 6, 2026 22:00 - 23:00 UTC
Speakers
New York University
Xiaoting Chen is a 4th-year Biostatistics PhD candidate at New York University School of Global Public Health. Her research focuses on dynamic borrowing methods for clinical trial design, with an emphasis on frequentist frameworks that combine historical and concurrent control data...
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New York University
Yuyu(Ruby) Chen recently graduated from NYU School of Global Public Health with PhD in Biostatistics. Her PhD work focused on developing and evaluating advanced missing data imputation frameworks tailored for healthcare research, which covers the aspects including clinical trials...
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New York University
Jianan is a rising fifth-year PhD student in Biostatistics. Her main research interest is on design-based causal inference. She is interested in observational studies, randomized trials, sensitivity analysis, and their applications in health policy research, infectious disease research...
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New York University
Iris is a 4th-year Biostatistics PhD student at New York University School of Global Public Health. Her research focuses on statistical machine learning and high-dimensional inference, with an emphasis on transfer learning, representation learning, and AI-driven methods for healthcare...
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Chairs/Hosts
Organizers
New York University
Xiaoting Chen is a 4th-year Biostatistics PhD candidate at New York University School of Global Public Health. Her research focuses on dynamic borrowing methods for clinical trial design, with an emphasis on frequentist frameworks that combine historical and concurrent control data...
Read More →