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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.

Podcast 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 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.

Podcast 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 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.
Blog
Digital Googols and the Future of Clinical Learning
Digital twins in clinical research generate discussion and controversy, but current use is limited by lack of rich data sets. The potential is great for modeling counterfactual outcomes in clinical research, and we will get there.
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