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Mixed-Effect/Multilevel Modeling with R

Mixed-Effect/Multilevel Modeling with R

Mixed-effect models, multilevel models, hierarchical linear models – all refer to a class of statistical models used to analyze correlated data. Such data include repeated measurements, longitudinal measurements and clustered observations. In this workshop we introduce the basics of mixed-effect modeling with an emphasis on implementation and interpretation. Examples will be given in R using the lme4 package. Previous experience with R and linear regression will be helpful but not required.

Date:
Thursday, February 10, 2022
Time:
10:00am - 11:30am
Campus:
Online
Categories:
Data Workshop Workshop
Presenter:
Clay Ford

Registration is required. There are 10 seats available.


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The U.Va. Library is committed to hosting library events that are inclusive and welcoming to all. If you need certain accommodations to participate fully in this event, please contact libevents@virginia.edu.

Event Organizer

Clay Ford
Ricky Patterson