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.''

If you do not have a University of Cambridge Raven account please book or register your interest here.

Additional information

• Our courses are only free for registered University of Cambridge students. All other participants will be charged according to our charging policy.
• Attendance will be taken on all courses and a charge is applied for non-attendance, including for University of Cambridge students. After you have booked a place, if you are unable to attend any of the live sessions, please email the Bioinfo Team.
• Further details regarding eligibility criteria are available here.
• Guidance on visiting Cambridge and finding accommodation is available here.