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BEGIN:VEVENT
DTSTART:20260512T140000Z
DTEND:20260512T160000Z
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SUMMARY:NIH All of Us Data Training Series: Statistical data analysis for clinical research
DESCRIPTION:Brief description of training\n\n\n	\n	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\n	\n\n\nLearning objectives\n\n\n	\n	By the end of 
 this course\, participants will be able to:\n\n	\n		\n		Import data from a 
 workspace bucket using code snippets\n		\n		\n		Identify appropriate 
 statistical tests to use for their clinic data\n		\n		\n		Be able to 
 perform the following statistical tests using R and Jupyter 
 Notebooks:\n\n		\n			\n			Chi-square 
 test\n			\n			\n			T-test\n			\n			\n			Logistic 
 regression\n			\n			\n			Linear regressions\n			\n			\n			Hazard 
 Ratios\n			\n			\n			And maybe more...\n			\n		\n		\n	\n	\n\n\nTechnical 
 requirements (software packages\, BYO computer\, etc.)\n\n\n	BYO 
 Computer\n\n\nClass prerequisites (if any)\n\n\n	All of Us account 
 (required)\n	\n		If you need to create an account: [link to previous 
 training]\n	\n	\n	All of Us workspace setup and proof of account 
 verification (required)\n	\n		Create a workspace and complete your 
 verification form here: 
 https://forms.cloud.microsoft/r/raC0q3zix5\n	\n	\n	Questions? Email 
 Maximilian.wegener@yale.edu\n
LOCATION:SHM L 111\, Cushing/Whitney Medical Library\, 333 Cedar Street\, Medical School
ORGANIZER;CN="Vasean Daniels":MAILTO:vasean.daniels@yale.edu
CATEGORIES:Coding, Data, Datasets
CONTACT;CN="Vasean Daniels":MAILTO:vasean.daniels@yale.edu
STATUS:CONFIRMED
UID:LibCal-16745841
URL:https://schedule.yale.edu/event/16745841
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