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.
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
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
Multiple Testing for Data with Ancillary Information
Xuechan Li, PhD Candidate, Biostatistics and Bioinformatics PhD Program
Demystifying the Drop-Outs in Single Cell RNA-Seq Data
Mengjie Chen, PhD, Assistant Professor, Medicine & Human Genetics, University of Chicago
