This course is presented by the CTSA Biostatistics, Epidemiology, and Research Design (BERD) program
In partnership with the Department of Biostatistics, Mailman School of Public Health, Columbia University
Getting Started with Statistical Software (R and RStudio)
Three Sessions: January 12, 19 & 26, 2022 - From 12:00 to 1:30 pm ET
Speakers: Julia Thompson, Jared Garfinkel, Weijia Fan
This three-part, introductory course teaches the foundation of statistical programming using R software. We provide R programming examples using real-world data that will help you make a connection between concepts and software implementation.
Sessions are open to all CUIMC faculty, staff, fellows, and post-docs. No prior computing experience or statistical knowledge are required.
* Session 1 will cover importing data, examining data attributes, and manipulating data (creating new variables, stacking vs. merging data sets, etc.).
* Session 2 will cover descriptive statistics, summary tables and basic statistical analyses (t-tests, ANOVA, regression, chi-squared/Fisher Exact tests).
* Session 3 will cover data visualization using versatile R plotting functions.
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