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.
Covariate-adjusted Expected Shortfall: Some Recent Developments
Xuming He, PhD, Professor, Department of Statistics, University of Michigan
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Experimental Design: Get the Most Out of Your Proteome
Matthew Foster, Ph.D.
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AI Health Virtual Seminar: Augmenting traditional population-based screening with AI: use case of identifying health system patients with poor functional status
Juliessa M. Pavon, MD, MHS, Associate Professor of Medicine (Geriatrics) and Head & Neck Surgery and Communication Sciences; Senior Fellow in the Center for the Study of Aging and Human Development; Durham VA Health System GRECC with host Mary Solomon, BS, MS, Duke AI Health Fellow
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Joint NC BERD Seminar: Basic Steps in Questionnaire Development
Marcella Boynton, PhD
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Joint NC BERD Seminar: Analysis of a discrete outcome
Dr. Nathaniel O'Connell
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AI Health Spark Seminar Series: Machine learning for preclinical behavioral phenotyping and TBI clinical workflows
Timothy Dunn, PhD; Assistant Professor of Biomedical Engineering and Assistant Professor in Neurosurgery, Duke University with host Maciej Mazurowski, PhD; Associate Professor in Radiology, Duke University
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Introduction to Mass Spectrometry Based Proteomics
Erik Soderblom, Ph.D.
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