Tuesday, June 11, 8:30 a.m. - 12:30 p.m.,
140 Schaeffer Hall

Presenter: Dr. Ariel Aloe

Visit the Data Science Institute for registration information

This course provides a practical introduction to mixed-models and related topics with R. These models allow for the analysis of nested and cross-classified data. Nested and cross-classified data structures occur often in many contexts (e.g. students nested within classrooms or schools, patients nested within clinicians, teeth nested within mouth, repeated observations nested within subject, etc). Participants will learn how to use a variety of mixed models and related packages available in R (e.g., nlme, lme4, sandwich, geepack)