At a glance
Frequency
At your convenience
Duration
3 days
Study mode
Online
Fees
$275-$660 info below
What you will learn
This course covers the fitting and interpretation of mixed models in R.
Course topics
- Fixed and random effects.
- Variance components.
- Nested and crossed factors.
- Models with categorical and continuous predictors.
- Comparison and adjustment of means.
- Using R to fit mixed models.
- Interpretation of R output.
- Where mixed models fit in.
The course is focused on examples, and there is no mathematical theory. Some familiarity with R is necessary. One way of obtaining such familiarity, and learning useful statistics along the way, would be to take one of the following courses offered by the Statistical Consulting Centre:
The course will use R Markdown, but you don’t have to be familiar with it to benefit from the course. RStudio will be used in the course as a front end.
Presenter
Cameron Patrick
Cameron Patrick is a consultant for the Statistical Consulting Centre in the School of Mathematics and Statistics. He also supports University staff and graduate researchers.
Who should take this course?
This course is suitable for researchers who need to fit mixed models to their data. Mixed models are also known as multi-level models or hierarchical models, and arise in most disciplines, in both designed experiments and observational studies. Some examples are cluster randomised trials in medicine, incomplete block designs in agriculture, hierarchical structures in education, repeated measures in the social sciences, and nested factors in ecology. Mixed models are especially appropriate where adjustment is needed for missing data.
What people are saying
"Very useful. I work in linguistics, where mixed models have basically become the norm, but I always used to find them intimidating. I feel that I can begin to use them now."
"The exercises matched what was taught and helped consolidate learning."
"These were enormously useful to have at the same time. Particularly for running the code if we liked simultaneously. It was also really great when there were interpretations of the models/residuals, etc."
"Great, friendly, chatty, caring environment created by Graham and Cam. Well done."
More information
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Course cost
$660
Course cost for University of Melbourne staff
$440
Course cost for University of Melbourne postgraduate students
$275
- All prices include GST.
- GST does not apply if paying through your University School.
- The fee includes a set of notes from the lecture slides.
- $30 cancellation fee applies.
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Each of the 3 days commences at 9.00 am and finishes at 12.30 pm.
The sessions mix lecture presentations with practical work.
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