NIH All of Us Data Training Series: Statistical data analysis for clinical research
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NIH All of Us Data Training Series: Statistical data analysis for clinical research In-Person
This class has prerequisites! Be sure to read the entire description. If you do not complete the prerequisites by June 29th at 4pm, your registration will be cancelled.
In this training session, we will work with R inside the Jupyter Notebook environment within All of Us to conduct commonly used statistical data analysis for clinical research data.
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By the end of this course, participants will be able to:
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Import data from a workspace bucket using code snippets
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Identify appropriate statistical tests to use for their clinic data
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Be able to perform the following statistical tests using R and Jupyter Notebooks:
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Chi-square test
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T-test
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Logistic regression
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Linear regressions
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Hazard Ratios
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Class prerequisites
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All of Us account (required)
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If you need to create an account: https://github.com/CWML/All-of-Us-Training-Resources/blob/main/Session%201/create%20an%20All%20of%20Us%20account.pptx
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All of Us workspace setup and proof of account verification (required)
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Create a workspace and complete your verification form here: https://forms.cloud.microsoft/r/raC0q3zix5
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- Questions? Email Maximilian.wegener@yale.edu
- Date:
- Tuesday, June 30, 2026
- Time:
- 10:00am - 12:00pm
- Time Zone:
- Eastern Time - US & Canada (change)
- Location:
- SHM L 111, Cushing/Whitney Medical Library, 333 Cedar Street
- Campus:
- Medical School
- Categories:
- Data Programming
Workshop Incentive Program: Any Yale affiliate who attends at least three library workshops this semester will be eligible to receive a FREE Yale Library tote bag. Learn more.
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