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
AI Health HDS Learning Experience: KESER: Clinical Knowledge Extraction via Sparse Embedding Regression with EHR data
Chuan Hong, PhD. Assistant Professor of Biostatistics & Bioinformatics
AI Health HDS Learning Experience: KESER: Clinical Knowledge Extraction via Sparse Embedding Regression with EHR data
Chuan Hong, PhD. Assistant Professor of Biostatistics & Bioinformatics
Joint NC BERD Seminar: Prediction and Causation in EHRs
David Page, PhD
Statistical Opportunities In Analyzing Real-World Interventional Mobile Health Data
Zhenke Wu, PhD, Assistant Professor of Biostatistics, University of Michigan
Joint NC BERD Seminar: Study Design: Screening Methodology and Statistics
Beverly Levine, PhD
