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Linear Mixed-Effect Modeling in R

Linear Mixed-Effect Modeling in R

Mixed-effect models, multilevel models, hierarchical linear models – all refer to a class of statistical models used to analyze correlated data. By “correlated” we mean data that is not independent. Such data include repeated measurements on the same subjects, or subjects observed in clusters, such as students in classrooms or plants in different plots. In this workshop we introduce the basics of linear 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, October 6, 2022
Time:
10:00am - 11:30am
Campus:
Online
Categories:
Data Workshop > HSL Data Workshop Data Workshop > RDS Data Workshop Data Workshop Workshop
Presenter:
Clay Ford

Registration is required. There are 15 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