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SUMMARY:An Introduction to Linear Mixed Effects (LME) models - Delia Fuhrm
 ann\, Roni Tibon &amp\; Alex Quent\, MRC CBU
DTSTART:20191111T123000Z
DTEND:20191111T133000Z
UID:TALK129766@talks.cam.ac.uk
CONTACT:Johan Carlin
DESCRIPTION:The use of linear mixed-effect models is becoming increasingly
  popular in neuroimaging. These models extend the simple linear models by 
 allowing both fixed and random effects\, and are particularly useful for c
 lustered and hierarchical data. In this upcoming session\, Delia will intr
 oduce the concept of linear mixed-effect models and discuss when they shou
 ld be used. Roni will demonstrate how these are implemented with R. Alex Q
  will review some advanced topics\, including estimation of parameters (fa
 mily parameters and random effects) as well as the use of Bayesian statist
 ics.
LOCATION:Lecture Theatre\, MRC Cognition and Brain Sciences Unit\, 15 Chau
 cer Road\, Cambridge
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