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 Virtual Seminar: Predictive modeling with multi-modal health data
Matthew M. Engelhard, Assistant Professor of Biostatistics & Bioinformatics with host Andrew Olson, MPP, Associate Director, Policy Strategy and Solutions for Health Data Science, Duke AI Health
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A Different Track: Being a Scientist in Industry
Joe Volpe
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Interpretable sensitivity analysis for the Baron–Kenny approach to mediation with unmeasured confounding
Peng Ding, University of California, Berkeley
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Electronic Health Record-Based Clinical Predictive Modeling to Match Care Coordination to Children with Complex Health Needs
David Ming, MD, Internist and Pediatrician, Hospital Medicine Specialist and Richard Chung, MD Pediatrician, Adolescent Medicine Specialist with host Andrew Olson, MPP, Associate Director, Policy Strategy and Solutions for Health Data Science, Duke AI Health
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Joint NC BERD Seminar: Navigating Uncertainty with p-values and Confidence Intervals
Morgana Mongraw-Chaffin, PhD, MPH
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Profiling Blood Cancer Drivers Through Large-Scale Genomics
Rachel Kositsky, PhD Candidate
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