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Course Catalog

340.676.11 BAYESIAN ADAPTIVE TRIALS

Department: Epidemiology
Term: Summer Inst. term
Credits: 2 credits
Contact: Ayesha Khan
Academic Year: 2013 - 2014
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 Objective(s):
Upon successfully completing this course, students will be able to:
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

Methods of Assessment: Exam
Location: East Baltimore
Class Times:
  • Mon 06/24/2013 - Fri 06/28/2013
  • Monday 8:30 - 12:00
  • Tuesday 8:30 - 12:00
  • Wednesday 8:30 - 12:00
  • Thursday 8:30 - 12:00
  • Friday 8:30 - 12:00
Enrollment Minimum: 10
Instructor Consent: No consent required
Auditors Allowed: No
Grading Restriction: Letter Grade or Pass/Fail