Short Course: Mixed Models using R

Course Overview

Simple statistical methods (t-tests, chi-square tests, linear models/regression) assume independence of observations and cannot be used when dependence is present in the sample. Mixed models are extensions of linear models to dependent data. Common reasons for dependence are

• Clustering e.g. multiple patients per hospital, multiple plants per site, multiple measurements on the same individual
• Time and Space -  measurements taken close in time and space are more similar (dependent)

In this course we will teach mixed models as a straightforward extension of (generalised) linear models. The course will include lectures and practical sessions, and explain how to fit, check, interpret and communicate results from mixed models.

Accessibility

This is an in person course. If you wish to participate, but in person attendance is not accessible to you (e.g. you have hearing or vision impairment, parenting responsibilities, live too far) please email Gordana (g.popovic@unsw.edu.au) to arrange online attendance. The virtual component will be run using Zoom, and closed captions will be activated on request.

Slides are in PDF format, exercises are in R markdown, and both will be downloadable in advance. If HTML slides and alt text are needed to assist accessibility we will make every effort to provide these, please let us know well in advance. Lectures will be recorded, and available for a week following the workshop. Please email Gordana g.popovic@unsw.edu.au with any questions or requests.

Course Pre-requisite: Ability to run, check and interpret linear models in R, completed our Fundamentals of Regression course in February 11-13. You would understand linear and generalised linear models using R and have all the background you need.

Presenter and Expertise: Gordana Popovic, Senior Statistical Consultant, UNSW Stats Central

Course Requirements: You will need to bring and use your own computer during the workshop.

Date: Tuesday 13 and Wednesday 14 May 2025

Duration: 9.30am - 4.00pm, each day

Delivery Mode: In-person Only

Location: Wallace Wurth Building

You will receive a certificate of completion for the course.

Note: If you have a funding support and would like to pay by "Internal Funding Payment", please contact us stats.central@unsw.edu.au

FAQs

How can I contact the organiser with any questions?

Please send us an email at: stats.central@unsw.edu.au