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The Design and Analysis of Cluster Randomized Trials

East Baltimore
4th term
International Health
2 credits
Academic Year:
2021 - 2022
Instruction Method:
Synchronous Online
Class Times:
  • Tuesday,  3:30 - 5:20pm
Auditors Allowed:
Yes, with instructor consent
Grading Restriction:
Letter Grade or Pass/Fail
Course Instructor:
Aletta Nonyane

Biostatistics 621, 622, 623, 624 or equivalent sequence.


Covers the major concepts and methods in the design and analysis of trial in which the unit of randomization is a group of participants. Focuses on design: discusses unmatched, matched, stepped wedge, and other approaches, with particular attention paid to randomization and sample size considerations. Presents a variety of methods for the analysis of these correlated-outcomes studies. Includes special aspects of infectious disease interventions.

Learning Objectives:

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

  1. Identify when a cluster randomized trial may be preferable to an individually randomized trial
  2. Determine optimal design strategies for enabling estimation of efficacy and effectiveness parameters of interest
  3. Conduct and interpret statistical analyses appropriate to these designs
Methods of Assessment:

This course is evaluated as follows:

  • 60% Weekly exercises
  • 40% Short project paper outlining a new trial with critical features and options discussed

Instructor Consent:

No consent required