The Applied Biostatistics Seminar Series consists of a series of talks with the primary purpose of furthering statistical knowledge on an applied level.
Talks will focus on advances in biostatistical methods and statistical programming techniques and their translation into addressing biomedical research questions. The seminars are open to all members of the Duke community, but primarily geared toward applied statistical researchers.
Making the Most of Single-Cell High-Throughput Chromatin Conformation Capture Data
Sündüz Keleş, PhD, Professor of Statistics, University of Wisconsin-Madison
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AI Health HDS Learning Experience: KESER: Clinical Knowledge Extraction via Sparse Embedding Regression with EHR data
Chuan Hong, PhD. Assistant Professor of Biostatistics & Bioinformatics
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AI Health HDS Learning Experience: KESER: Clinical Knowledge Extraction via Sparse Embedding Regression with EHR data
Chuan Hong, PhD. Assistant Professor of Biostatistics & Bioinformatics
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Joint NC BERD Seminar: Prediction and Causation in EHRs
David Page, PhD
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Statistical Opportunities In Analyzing Real-World Interventional Mobile Health Data
Zhenke Wu, PhD, Assistant Professor of Biostatistics, University of Michigan
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Joint NC BERD Seminar: Study Design: Screening Methodology and Statistics
Beverly Levine, PhD
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AI Health HDS Learning Experience: Using and Implementing AI for Resource Allocation in Surgery
Dan Buckland, MD, PhD; Assistant Professor of Surgery and Assistant Professor in the Thomas Lord Department of Mechanical Engineering and Materials Science and Hamed Zaribafzadeh, MS; AI Health Data Science Fellowship Program
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