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.
Joint NC BERD Seminar: Introduction to BERD biostatistical services
Greg Russell, MS
to
Machine Learning for Precise Diagnostics and Therapeutics
Rohit Singh, PhD
to
Develop Novel Statistical and Computational Methods for Omics Data Analysis
Qi Gao, PhD Candidate
to
Designing Adaptive Micro-randomized Trials for Mobile Health Studies via Thompson Sampling
Bibhas Chakraborty, PhD
to
Team Medicine in Action: Duke University School of Medicine State of the School Address
Dean Mary E. Klotman, MD
to
How to Find Cancers Without Knowing What Cancers Look Like
Maciej Mazurowski, PhD
to
AI Health Spark Seminar Series: Towards solving breast cancer diagnosis with deep learning
Krzysztof Geras, PhD; NYU Grossman School of Medicine and NYU Center for Data Science and at Courant Institute for Mathematical Sciences with host Maciej Mazurowski, PhD; Associate Professor in Radiology, Duke University
to
BERD seminar: Analysis of Two-stage Seamless Adaptive Clinical Trials
Shein-Chung Chow, Ph.D.
to
AI Health Virtual Seminar: Challenges in Bring-Your-Own-Device Design-based Digital Health Studies to Develop Reliable and Generalizable Artificial Intelligence Tools for Healthcare Application
Md Mobashir Hasan Shandhi, PhD; American Heart Association Postdoctoral Fellow, Department of Biomedical Engineering, Duke University, with host Andrew Olson, MPP; Associate Director, Policy Strategy and Solutions for Health Data Science, Duke AI Health
to