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Bayesian Adaptive Trials

June 19–23, 2023
8:30 a.m. – 12:00 p.m.
2 credits
Course Number: 340.676.11 (in person)
                                      340.676.49 (online)


This is a hybrid course with both a synchronous online section (340.676.49) and an in-person section (340.676.11). You'll be able to indicate which section you want (either in-person or online) when registering in SIS.

"This was a terrific course. I took a giant leap in my understanding of the field. The pacing was excellent- faster than my 'comfort zone' but manageable with full effort, like a good personal trainer workout."—Student, 2018

Course Instructor:


Presents Bayesian adaptive designs and teaches students the skills and considerations necessary to construct such designs. Examines the operating characteristics of Bayesian adaptive designs and the benefits and costs of interim analyses, in particular within the regulatory framework.

Learning Objectives:

  • Demonstrate skills in adaptive designs, Bayesian analysis and Bayesian computation

  • Assess sets of real-life Bayesian adaptive designs and evaluate considerations that went into each design, and the adaptive decisions that are made in each trial.

Student Evaluation:  Exam

Prerequisites:   Some knowledge of clinical trials and statistics

Grading Options: Letter Grade or Pass/Fail

Course Materials:  Provided in class

Related CoursesPharmacoepidemiology  • Design and Conduct of Clinical Trials  • Causal Inference: Emulating a Target Trial to Assess Comparative Effectiveness