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Linear Mixed Effects Modeling in R

Linear Mixed Effects Modeling in 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.

Instructor: Clay Ford

Monday, February 12, 2018
10:00am - 12:00pm
Brown 133
Brown Science & Engineering
Data Workshop Workshop
Clay Ford
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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
Michele Claibourn

Thank you for registering for a Research Data Services worskhop!