One-Day Online Workshop: Introduction to Mixed Modelling

September 10 | 10 am - 4.30 pm
Online
$110 ($100 when paid via internal transfer)

Mixed modelling is a key technique in modern statistical analysis, especially useful for handling large datasets in health, social sciences, ecology, and biology. It’s the ideal tool when dealing with repeated measurements, clustering, or multiple levels within your data. Mixed models also handle longitudinal data with missing observations, a common issue with ANOVA models. This form of regression analysis is a must-have for any innovative data analyst.

What You’ll Learn

• Basics of building linear statistical models
• Standard regression analysis
• Interpreting categorical predictors and interaction terms
• Introduction to mixed models: what they are, suitable data, and application in R
• Interpreting results from mixed models
• Basics of using R and RStudio
• Overview of tidyverse functions for data preparation
• Creating data visualizations for clustered data using ggplot2
• No prior knowledge of R is required.

Instructors

• Dr Brad Wakefield
• Professor Marijka Batterham

For more information 

• About the course, please contact Brad Wakefield at bradley_wakefield@uow.edu.au.
• On registration, please contact Karin Karr at karin_karr@uow.edu.au.

We look forward to seeing you there!