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, either though having completed our Fundamentals of Regression course in May, or by self assessment using this 3 minute questionnaire.

We assume a thorough understanding of linear and generalised linear models using R. If you recently took our Fundamentals of Regression course May 21-23, you would have all the background you need. If not, please use this 3 minute questionnaire to self asses your readiness for this course.

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

Date: Monday 1 to Tuesday 2 July 2024

Duration: 10.00am - 4.00pm, each day

Location: K-F23-105 - Mat 105 - Hybrid, this workshop will be delivered mainly in person with limited remote access. We highly encourage you to attend in person.

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