Events

Event Title	Exploratory Data Analysis for Clinical Research
Location	Brinkhous-Bullitt Bldg., 2nd floor, room 219
Sponsor	NC TraCS (Translational and Clinical Sciences) Institute: NIH CTSA at UNC-CH
Date/Time	02/04/2026 12:00 PM - 1:00 PM
Cutoff Date	02/03/2026 Must register before this date

For more information, contact the event administrator: Jennifer Scott jennifer_scott@unc.edu

Event Presenters

Name	Title
Emily Griffith, PhD	Professor of the Practice (Department of Statistics) and Director of Consulting (Data Science and AI Academy) at NC State University
John Slankas, PhD	Senior Research Scholar (Laboratory for Analytic Sciences) at NC State University

Join us for a laptop-optional workshop to learn about using exploratory data analysis (EDA) as part of a data analysis plan for clinical research. Code samples will be provided in both R and Python.

In this workshop, you will learn how to:

Rearticulate research question with respect to collected data
Design and implement a data analysis plan
Use appropriate exploratory data analysis (EDA) for variable and question types

Workshop outline:

1. What is a measurable research question?
2. Is your question answerable by the available data?
3. Considerations for designing an analysis plan to answer a specific question.
4. What is EDA?
5. What are appropriate EDAs for different types of research questions?

Prerequisites: No prerequisite knowledge needed. Some exposure to data analysis in R and/or Python may be beneficial.

Resources:

Cressman, K. A., & Sharp, J. L. (2022). Crafting statistical analysis plans: A cross-discipline approach. Stat, 11(1), e528. https://doi.org/10.1002/sta4.528
Leek, J. T., & Peng, R. D. (2015). What is the question? Science, 347, 1314-1315. https://doi.org/10.1126/science.aaa6146

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This workshop is co-sponsored by the Data Science and AI Academy at NC State University and the Informatics and Data Science program at the NC Translational and Clinical Sciences Institute.