Mixed Models in R

This course, conducted by the Statistical Consulting Centre, 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 include cluster randomised trials in medicine, unbalanced designs in agriculture, hierarchical structures in education, repeated measures in the social sciences, and nested factors in ecology. Topics include fixed and random effects; variance components; nested and crossed factors; comparison and adjustment of means; models with categorical and continuous predictors; using R to fit mixed models; interpretation of R output.

To register:

https://scc.ms.unimelb.edu.au/statistics-courses/course-listing/mixed-models