R - Models for Clustered and Correlated Data

Abstract

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 M. Ryan

Assistant Professor
mary [dot] ryan [at] wisc [dot] edu

My research interests include group sequential design and clinical trials, with applications in Alzheimer’s Disease biomarker discovery, as well as pragmatic and cluster randomized trials.