[Online] Workshop Generalized Linear Models Part 2
Details
New year, new meetup! We're back in February with part 2 of the Generalized Linear Models workshop by Bodo Winter.
In part one, Bodo gave an introduction to linear models and generalized linear models. This second workshop will introduce participants to mixed models, which are otherwise known as multilevel models or sometimes also hierarchical linear models. These models are crucial for dealing with cases of non-independence, such as when multiple data points are collected from the same individual, or from the same school, district, institution, country, or any other grouping variable. After a brief conceptual introduction, the workshop gives a quick tutorial on how to use the lme4 and afex packages to fit a generalized linear mixed effects model in R.
Please feel welcomed even if you didn’t make it to the first session as Bodo will begin with a very quick recap of part one anyway.
In case you want to see what was covered in part one, here is a link to a recording of the first session: https://bit.ly/35CwxVz
Material for the workshop can be found at https://github.com/bodowinter/birminghamr_mixed_models
If you want to run the analysis yourselves, you’ll need the following packages: tidyverse, lme4, afex, brms