News and Events
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
News and Events
Episode 39, “Discussion with Kaspar Rufibach”
In this episode of "In the Interim...", Dr. Scott Berry interviews Dr. Kaspar Rufibach, Co-Head of Advanced Biostatistical Sciences at Merck.
News and Events
Episode 38, “Bayesian Statistics in Clinical Trials: The Past, Present, and Future”
In this episode of "In the Interim…" guest host Cooper Berry moderates a detailed discussion on the evolution and practice of Bayesian methodology in clinical trials with fellow family members Dr. Don Berry, Dr. Scott Berry, Dr. Lindsay Berry, and Dr. Nick Berry.
News and Events
Episode 37, “A Visit with Stroke Neurologist Dr. Jeff Saver”
In episode 37 of "In the Interim…", Dr. Jeff Saver, Director of the UCLA Comprehensive Stroke and Vascular Neurology Program, details his shift from behavioral neurology to clinical stroke research after early engagement with multicenter trials like TOAST.
News and Events
Episode 36, “The Saga of the Lecanemab Adaptive Phase II Trial”
In Episode 36 of "In the Interim…", Dr. Scott Berry and Dr. Don Berry analyze the Phase II trial of Lecanemab (BAN2401) in Alzheimer’s disease, focusing on the application of adaptive Bayesian methods following persistent failures in Alzheimer’s drug development.
News and Events
Episode 35, “Teaching Statistics and Data Science through Sports”
On this episode of “In the Interim…”, which is co-sponsored by the Journal of Statistics and Data Science Education, Dr. Scott Berry talks with Dr. Jim Albert, Professor Emeritus at Bowling Green State University, whose extensive work encompasses Bayesian statistics and computation, sports analytics, and decades of exemplary teaching.
News and Events
Episode 34, “Digital Googols”
In this episode of "In the Interim…", Dr. Scott Berry examines the concept of “digital twins” in clinical trials. He details how simulation of clinical trials is a direct analog of digital twin methodology, allowing for the in-silico modeling of the physical trial conduct, enrollment, dropouts, and patient outcomes under varied assumptions.
No results found.
There are no results with this criteria. Try changing your search.
