When:
Tuesday, May 20, 2025
12:00 PM - 1:00 PM CT
Where: Online
Audience: Faculty/Staff - Student - Post Docs/Docs - Graduate Students
Contact:
Leticia Vega
Group: Northwestern IT Research Computing and Data Services
Category: Training
Multiple comparisons is a common problem in statistics. If you don't deal with it correctly, you can inflate the false positive rate. You don't want that! This workshop introduces a range of techniques for making adjustments to significance levels when performing multiple analyses of your data. More importantly, you'll learn ways to avoid having to do this.
Prerequisites: Participants should be familiar with introductory-level statistics, including the concepts of significance tests, confidence intervals, and p-values.