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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: 2012 - 2013
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.
Student Evaluation: Exam
Learning Objective:

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.pon successfully completing this course, students will be able to:
Location: Baltimore
Class Times:
  • Mon 07/02/2012 - Fri 07/06/2012
  • 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
For consent, contact: akhan@jhsph.edu
Auditors Allowed: No
Grading Restriction: Letter Grade or Pass/Fail
Catalog Subcommittee Actions: CourseLearningObj, CourseOfferRationaleNote, ContactPerson, ContactEmail, ContactPerson2, ContactEmail2, ScheduleTypeId, StartDate, EndDate, .03/02/2012;