[R-sig-ME] ONLINE COURSE – Introduction To Mixed Models Using R And Rstudio (IMMR09)

[Oliver Hooker]

ONLINE COURSE – Introduction To Mixed Models Using R And Rstudio (IMMR09)

https://www.prstats.org/course/introduction-to-mixed-models-using-r-and-rstudio-immr09/

11th - 13th march 2025

Instructor - Dr. Rafael De Andrade Moral

COURSE OVERVIEW: This course provides a comprehensive practical and
theoretical introduction to multilevel models, also known as hierarchical
or mixed effects models. We will focus primarily on multilevel linear
models, but also cover multilevel generalized linear models. Likewise, we
will also describe Bayesian approaches to multilevel modelling. We will
begin by focusing on *random effects* multilevel models. These models make
it clear how multilevel models are in fact models of models. In addition,
random effects models serve as a solid basis for understanding mixed
effects, i.e. fixed and random effects, models. In this coverage of random
effects, we will also cover the important concepts of statistical shrinkage
in the estimation of effects, as well as intraclass correlation. We then
proceed to cover linear mixed effects models, particularly focusing on
varying intercept and/or varying slopes regression models. We will then
cover further aspects of linear mixed effects models, including multilevel
models for nested and crossed data data, and group level predictor
variables. Towards the end of the course we also cover generalized linear
mixed models (GLMMs), how to accommodate overdispersion through
individual-level random effects, as well as Bayesian approaches to
multilevel levels using the brms R package.

Please email oliverhooker using prstatistics.com with any questions.


-- 
Oliver Hooker PhD.
PR stats

	[[alternative HTML version deleted]]