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Course Catalog

340.676.11 BAYESIAN ADAPTIVE TRIALS

Department:
Epidemiology
Term:
Summer Inst. term
Credits:
2 credits
Academic Year:
2012 - 2013
Location:
East Baltimore
Dates:
Mon 07/02/2012 - Fri 07/06/2012
Class Times:
  • M Tu W Th F,  8:30am - 12:00pm

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Auditors Allowed:
No
Grading Restriction:
Letter Grade or Pass/Fail
Contact:
Ayesha Khan
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:

Upon successfully completing this course, students will be able to:

  1. demonstrate skills in adaptive designs, Bayesian analysis and Bayesian computation
  2. 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

Instructor Consent:

No consent required