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Graduate Summer Institute of Epidemiology and Biostatistics

Bayesian Adaptive Trials

June 27 – July 1, 2016
8:30 a.m. – 12:00 p.m.
2 credits
Course Number: 340.676.11

 

Course Instructor:

·         Jason Connor

Description:

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:

Student Evaluation:  Exam

Prerequisites:   Some knowledge of clinical trials and statistics

Grading Options: Letter Grade or Pass/Fail

Course Materials:  Provided in class