Enhance Your All of Us Research Learning R

In this session, attendees will explore how to easily analyze their data.  Dr. Eric Stokan will cover such analytic techniques as hypothesis testing using t-tests, correlations, and ANOVA.  He will also discuss linear, logistic, fixed effects, and difference-in-differences regression or other techniques of interest for the group as identified in session 1.  Attendees will learn how to use diagnostic and assumption checks in R, and produce visuals based on their data analyses. Dr. Stokan will also provide resources for engaging in machine learning practices. 

Link to workshop recording: https://umbc.webex.com/umbc/ldr.php?RCID=80a55ccc8798ffe52f16d481f62e1432