R: Models for clustered and correlated data
Basic linear regression is great, but what happens when not all of your observations are independent or you have multiple observations per subject? Take your statistical analysis skills to the next level when you learn how to measure the relationships within correlated and clustered data in R using the gee package.
This session is good for: Intermediate R users who are comfortable with linear and logistic regression and want to learn more complex modeling methods.
Mary Ryan is a statistics PhD student at the University of California, Irvine, and a proud member of the Mizzou Mafia. Her research is focused on sequential analysis and its applications to the study of Alzheimer's Disease. @Marym_Ryan
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