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
Brief description of training
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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
Learning objectives
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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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And maybe more...
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Technical requirements (software packages, BYO computer, etc.)
- BYO Computer
Class prerequisites (if any)
- All of Us account (required)
- If you need to create an account: [link to previous training]
- All of Us workspace setup and proof of account verification (required)
- Create a workspace and complete your verification form here: https://forms.cloud.microsoft/r/raC0q3zix5
- Questions? Email Maximilian.wegener@yale.edu
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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