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.
AI Health Spark Seminar Series: Neuroimage Analysis in Autism: from Model-Based Estimation to Data-driven Learning
James S. Duncan, Ph.D., Ebenezer K. Hunt Professor and Department Chair of Biomedical Engineering, Professor of Radiology & Biomedical Imaging, Professor of Electrical Engineering, Professor of Statistics & Data Science; Yale University, New Haven, CT with host Maciej Mazurowski, PhD; Associate Professor in Radiology, Duke University
Using CRISPR to Identify Genomic Regions That Control Gene Expression
Andrew Allen, PhD
Joint NC BERD Seminar: Biostatistics: Analysis of a continuous outcome
Dr. Heather M. Shappell
AI Health Virtual Seminar: What are machine learning and artificial intelligence, and why do they matter in health?
Matthew Engelhard, MD, PhD; Assistant Professor of Biostatistics and Bioinformatics Shelley Rusincovitch, MMCi; Managing Director, Duke AI Health
2nd Annual Scientific Retreat
Rick Myers & Amy Sturm
AI Health Virtual Seminar: Trailblazing a path to simpler, more transparent and equitable risk algorithms
Presented by: Michael Pencina, PhD; Professor of Biostatistics and Bioinformatics; Director of Duke AI Health; Vice Dean of Data Science, Duke University School of Medicine Chuan Hong, PhD; Assistant Professor of Biostatistics & Bioinformatics with host Marcella Dalrymple, MPH, MBA; Duke AI Health
Precision Medicine Program Forum Series: "VA Precision Oncology"
Michael J. Kelley, MD
BERD Seminar: Considerations for multiple testing correction and some common approaches
Richard Barfield, PhD
