ARCH Workshop: Multiple Hypothesis Correction, AIM AHEAD DICB Program, Laboratory of Experimental Medicine, University of Hawaii, John A. Burns School of Medicine
Created by D'Laney Kernan
Thu Mar 13, 2025
Register now to attend the virtual ARCH Workshop, "Multiple Hypothesis Correction" hosted by Joshua Garrison Burkhart, Ph.D.
Workshop Description:
Learn to adjust for multiple comparisons using methods such as Bonferroni and Benjamini-Hochberg through hands-on exercises with synthetic datasets, building practical skills to confidently apply these techniques in your research.
Date/Time: Thursday, April 17, 2025 - 3:00 PM CT/4:00 PM ET
Location: Virtual Workshop. Zoom link will be provided upon registration.
Prerequisites for Workshop:
The session is designed for those with a basic understanding of statistical testing, p-values, and some programming experience in Python, using synthetic datasets with realistic statistical testing scenarios for hands-on demonstrations.
Datasets & Tools:
Datasets: Use sample datasets that include multiple testing scenarios—these could be either simulated or derived from real research examples.
Tools: Employ programming environments like Python (with libraries such as statsmodels or SciPy) or R (using built-in functions or packages like p.adjust) to demonstrate correction techniques.
Expected Outcomes:
By the end of this workshop, participants will:
1. Understand the issues arising from performing multiple statistical tests.
2. Recognize common correction techniques, such as the Bonferroni method and the Benjamini-Hochberg procedure.
3. Gain practical experience in applying these correction methods to real datasets.
4. Develop the confidence to implement multiple hypothesis correction in your own research projects.
About ARCH:
The AI Resource Concierge for Health (ARCH) is supported by the National Institutes of Health AIM-AHEAD program.
ARCH Mission:
Support academic and community stakeholders in the adoption of AI/ML tools to advance their health and disease research goals.
ARCH Vision:
ARCH provides expert technical assistance, guidance and collaboration to facilitate adoption of AI/ML tools, supporting the AIM-AHEAD and wider research communities in leveraging these technologies to improve the health of the Nation.
Need Support?
Contact the AI Navigators HelpDesk to request support here: https://helpdesk.aim-ahead.net/ticket/create/35bD542BF0
Interested in learning more?
See a schedule of all upcoming ARCH Workshop details here: https://www.arch.health/stakeholder-engagement-workshops
