Class Experience Level
Beginner, Intermediate, Advanced
Join this session to learn about common pitfalls in statistics to look out for when reading scientific articles. Using a mix of lecture, discussion, and practice activities, participants will learn to identify misleading aspects of data visualizations, evidence of p-hacking, problems with pseudoreplication, and omissions in reporting of results.
This online class meets the NLM/NIH strategic plan goal of accelerating discovery and advancing health through data driven research in order to increase health information access and use.
By registering for this class, you are agreeing to the NNLM Code of Conduct.
Objectives:
- Demonstrate data literacy to better read and interpret health sciences research articles.
- Identify common misleading tactics in reporting statistics in a health sciences context.
Class Details
Date(s): June 24, 2025
Time: 2:00 PM - 3:00 PM EDT
Platform: Zoom
CE Credits: 1.00
CE Categories: MLA, Data Services Specialization (DSS) Level 1
This class is sponsored by NCDS.
Class Contacts
Host/Instructor: Justin de la Cruz
Technical Assistance: Rebecca Brown
Can't join us live?
Register anyway and you'll receive the recording after the event.