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340.676.11
Bayesian Adaptive Trials

Location:
Online/Virtual
Term:
Summer Inst. term
Department:
Epidemiology
Credits:
2 credits
Academic Year:
2021 - 2022
Instruction Method:
Synchronous Online
Dates:
Mon 06/21/2021 - Fri 06/25/2021
Class Times:
  • M Tu W Th F,  8:30am - 12:00pm
Auditors Allowed:
No
Grading Restriction:
Letter Grade or Pass/Fail
Course Instructor:
  • Jason Connor
Contact:
Ayesha Khan
Resources:
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
  3. Be introduced to studies with noncompliance to treatment, and the method of instrumental variables for estimating causal effects
Methods of Assessment:

This course is evaluated as follows:

  • 99% Exam(s)

Instructor Consent:

No consent required

Special Comments:

Course will be taught online via Zoom, on the dates and times the course is scheduled. For further information, please see the Institute website jhsph.edu/summerepi