Novel methods of trial design
During the second webinar in this series, Dr. Yuan Ji will provide a brief introduction of Bayesian statistics and their relevance to clinical trial designs while also presenting basic concepts of statistical modeling and decision making as well as advanced novel designs for early-phase and late-phase clinical trials. For early-phase oncology trials, Dr. Yuan Ji will list a few recent developments for dose optimization and for late-phase trials will discuss examples of fundamental issues of statistical errors.
Dr Yuan Ji
Yuan Ji is the founder of Laiya Consulting and currently is Professor of Biostatistics (with tenure) at The University of Chicago. He spent 9 years at The University of Texas M.D. Anderson Cancer Center, holding tenure-track and tenured faculty positions.
He is internationally known for his work on designs of dose-finding trials, adaptive dose insertion, seamless and overlapping phase I/II trials, immune-oncology studies, and subgroup enrichment approach. He is also an expert in bioinformatics and computational biology, with a deep understanding of translational medicine.
He has published over 100 peer-reviewed papers in top journals across different scientific disciplines, including Nature Methods, Journal of Clinical Oncology, and Journal of the National Cancer Institute.