340.794.89
Power and Sample Size for the Design of Epidemiological Studies II
Location
Internet
Term
Summer Institute
Department
Epidemiology
Credit(s)
1
Academic Year
2024 - 2025
Instruction Method
Asynchronous Online with Some Synchronous Online
Start Date
Thursday, June 20, 2024
End Date
Saturday, June 29, 2024
Auditors Allowed
No
Available to Undergraduate
No
Grading Restriction
Pass/Fail
Course Instructor(s)
Contact Name
Frequency Schedule
Every Year
Resources
Prerequisite
Prior enrollment in 340.694.89 is required. Experience with some computing software (R, Stata, and/or SAS) is required.
Build on your knowledge of power and sample size calculations, and learn how to calculate PSS for complicated study designs, as well as use of simulation for when existing PSS tools do not directly apply.
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:
- 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.
- Calculate required sample sizes, minimal detectable effects, or powers for CRTs.
- Calculate required sample sizes, minimal detectable effects, or powers for studies involving correlated data analysis
- Articulate the parameters specific to non-inferiority trial design
- Demonstrate the procedures for PSS calculations using simulations
- Determine the statistical as well as non-statistical considerations that go into the design of a clinical or epidemiological study
Methods of Assessment
This course is evaluated as follows:
- 99% Assignments
Students need to listen to lectures and complete 2 assignments to successfully master the material.