340.676.11
Bayesian Adaptive Trials

Location
East Baltimore
Term
Summer Institute
Department
Epidemiology
Credit(s)
2
Academic Year
2024 - 2025
Instruction Method
In-person
Class Time(s)
M, Tu, W, Th, F, 8:30 - 11:50am
Auditors Allowed
No
Available to Undergraduate
No
Grading Restriction
Letter Grade or Pass/Fail
Course Instructor(s)
Jason Connor
Contact Name
Ayesha Khan
Frequency Schedule
Every Year
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

Offered as hybrid course with both an onsite section (340.676.11) and synchronous online section (340.676.49). Please choose the course format you need (either in-person or online) when registering in SIS.