Data Science Institute: Mixed-Effects Models & Related Topics with R

140 Schaeffer Hall
Tuesday, June 11th, 2019

June 11, 2019 - 8:30am - 12:30pm: Mixed-Effects Models and Related Topics with R - Dr. Ariel Aloe

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).

To see the full schedule, click here.