University of Cambridge > Talks.cam > Imagers Interest Group > An Introduction to Linear Mixed Effects (LME) models

  Browse A-Z

Log in

University Account External (via Google)

🔐 Log In

Information on

Subscribing to talksdetails Finding a talkdetails Adding a talkdetails Disseminating talksdetails Help and Documentationdetails

ℹī¸ Information

An Introduction to Linear Mixed Effects (LME) models

Download to your calendar using vCal

If you have a question about this talk, please contact Johan Carlin .

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 clustered and hierarchical data. In this upcoming session, Delia will introduce the concept of linear mixed-effect models and discuss when they should be used. Roni will demonstrate how these are implemented with R. Alex Q will review some advanced topics, including estimation of parameters (family parameters and random effects) as well as the use of Bayesian statistics.

This talk is part of the Imagers Interest Group series.

This talk is included in these lists:

Note that ex-directory lists are not shown.

Other lists

Type the title of a new list here Hicks & Mead Rooms, University Centre, Granta Place T001, Materials Science and Metallurgy, Department of

Other talks

Kirk Public Lecture: Title TBC Why people with schizophrenia die earlier? Mortality and accelerated ageing Group Work Filial Lines: Art Spiegelman, Alison Bechdel, and Comics Form CSaP Annual Cleevely Lecture 2026 Optimal metric and approximation of free boundary minimal surfaces
 

Š 2006-2025 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity