Linear mixed effects models (IN-PERSON)

This event has already happened
Date/time:

Wednesday 29 April 2026 9:30am

Location:

The Pembroke Teaching Rooms

About

Dates: Wed 29, Thu 30 April, Fri 1 May 2026

Time: 09:30 - 13:00

Location: The Pembroke Teaching Rooms

Participants must have their own computers to work on. This course will require you to have an up-to-date installation of R and RStudio on your computer beforehand. Brief installation guides will be provided, and support will be available from the tutors during the sessions.

Please ensure you meet the target audience criteria and prerequisites before registering for a course.

 

Event Overview

This course gives an introduction to linear mixed effects models, also called multi-level models or hierarchical models, for the purposes of using them in your own research or studies.

We emphasise the practical skills and key concepts needed to work with these models, using applied examples and real datasets.

After completing the course, you should have:

  • A conceptual understanding of what mixed effects models are, and when they should be used
  • Familiarity with fitting and interpreting mixed effects models using the lme4 package in R

Please note that this course builds on knowledge of linear modelling, therefore should not be considered a general introduction to statistical modelling.

How to book Target audience
  • Everyone is welcome to attend the courses.
Prerequisites

Though this course is aimed a non-specialist audience, it assumes that all attendees already have:

  • Knowledge of core statistical concepts, in particular linear modelling
  • A working knowledge of R/RStudio

Please do not sign up to attend this course unless you have these prerequisite skills and knowledge.

We strongly recommend first attending the Core Statistics and Data analysis in R course, if you do not already have equivalent statistical and basic R training.

If you would like to check your own knowledge, you can use our quick pre-requisites quiz.

Registration fees

Fees must be paid at registration. 

Free for registered University of Cambridge students
£ 65/full day for all University of Cambridge staff, including postdocs. 
£ 65/full day for all academic participants from external Institutions and charitable organizations.
£ 130/full day for all Industry participants.

Contact us

For further information about the courses, please email the Research Informatics Training Team.