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.
Demystifying the Drop-Outs in Single Cell RNA-Seq Data
Mengjie Chen, PhD, Assistant Professor, Medicine & Human Genetics, University of Chicago
Marginal Methods for the Design and Analysis of Cluster Randomized Trials and Related Studies
Xueqi Wang, PhD Candidate
AI Health Data Studio: Session 6: Social Determinants of Health (SDOH) Data Sources
Armando Bedoya, MD, MMCi; Associate Chief Medical Informatics Officer, Duke Health with host Ursula Rogers; Senior Informaticist, Duke AI Health
Unraveling the tumor microenvironment using spatial transcriptomics
Stephen Williams
AI Health Data Studio: Session 5: The Duke Clinical Research Data Mart (CRDM)
Ben Goldstein, PhD; Associate Professor of Biostatistics and Bioinformatics with host Ursula Rogers; Senior Informaticist, Duke AI Health
Joint NC BERD Seminar: Presenting Your Results
Mike Bancks, MPH, PhD
Propensity Score Methods for Causal Subgroup Analysis
Siyun Yang, PhD Candidate
