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Power and Sample Size for the Design of Epidemiological Studies II

June 27 - July 6, 2022
1 credit

Course Number: 340.794.89

Course Instructor:

Xiangrong Kong


Introduces power and sample size (PSS) calculations for the design of more complicated studies, including survival or time-to-event outcomes, cluster randomized trials, studies with correlated outcomes, and non-inferiority trials. Introduces the use of simulation to conduct PSS calculations for the design of special situations where existing PSS tools do not directly apply. Showcases the design and conceptualization processes of real-world examples and how PSS statistical calculations serve as an integral component of the processes.

Learning Objectives:

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

 1)Identify the parameters that need to be considered when designing a cluster randomized trial (CRT), such as the concepts   of design effect, coefficient of variation and intraclass correlation coefficient.
 2)Calculate required sample sizes, minimal detectable effects, or powers for CRTs.
 3)Calculate required sample sizes, minimal detectable effects, or powers for studies involving correlated data analysis
 4)Articulate the parameters specific to non-inferiority trial design
 5)Demonstrate the procedures for PSS calculations using simulations
 6)Determine the statistical as well as non-statistical considerations that go into the design of a clinical or epidemiological   study

Methods of Assessment:

  • 50% Presentation(s)
  • 50% Quizzes