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.
Facilitating Harmonization of Variables from the Framingham, MESA, ARIC, and REGARDS Studies Through a Metadata Repository
Presented by: • Pratheek Mallya, MS; Product Development Manager, Data Science; American Heart Association • Chuan Hong, PhD; Assistant Professor of Biostatistics & Bioinformatics, Duke University School of Medicine Moderated by: • Andrew Olson, MPP, Associate Director, Policy Strategy and Solutions for Health Data Science
Ushering in the Algorithmic Century: Duke’s Pathfinding Leadership in Ensuring that Health AI Is Safe, Effective & Equitable for All
Dr. Michael Pencina, Vice Dean for Data Science, Chief Data Scientist for Duke Health, and Director of Duke AI Health
Machine Learning for Precise Diagnostics and Therapeutics
Rohit Singh, Assistant Professor of Biostatistics & Bioinformatics with host Aditya Parekh
Joint NC BERD Seminar: Causal inference and identifying threats to validity
Emilie Duchesneau, PhD
AI Health Virtual Seminar Series: Evaluating Generative Large Language Models in Healthcare
Presented by: Chuan Hong, PhD; Assistant Professor of Biostatistics & Bioinformatics, Duke University School of Medicine
AI Health Virtual Seminar Series: Using artificial intelligence to automate the screening of psychiatric distress in ophthalmology clinics using electronic health records
Presented by: Samuel Berchuck Ph.D. Assistant Professor of Biostatistics & Bioinformatics, with host Ayush Jain
