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: Driving AI Innovation with Synthetic Data in Longitudinal Imaging, Continual Leaning, and Federated Learning for Healthcare
Xiaoxiao Li, PhD; Assistant Professor at the University of British Columbia, Assistant Professor Adjunct at Yale University, and Faculty Member at Vector Institute with host Maciej Mazurowski, PhD; Associate Professor in Radiology, Duke University
Exposomic Modeling Approaches for Social and Environmental Determinants of Health
Kara McCormack, PhD Candidate
Extending the Weighted Generalized Score Statistic for Comparison of Correlated Means
Aaron Jones, PhD Candidate
AI Health virtual seminar: What are informatics and data science, and why do they matter in health?
W. Edward Hammond, PhD; Professor in Family Medicine and Community Health, Research Professor in the School of Nursing, Professor of Biostatistics and Bioinformatics Warren Kibbe, PhD; Professor in Biostatistics & Bioinformatics Shelley Rusincovitch, MMCi; Managing Director, Duke AI Health
Reconstruction & Recording of Mammalian Development
Jay Shendure
