Stats Central (UNSW) is offering a short course on mixed models.

Date: Monday 1 to Tuesday 2 July 2024

Duration: 10.00am - 4.00pm, each day

Location:  UNSW Sydney Kensington Campus. Limited online access available.

Registration: https://events.humanitix.com/short-course-mixed-models

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.