[R-sig-ME] Introduction To Mixed Models Using R And Rstudio (IMMR07)

[Oliver Hooker]

ONLINE COURSE – Introduction To Mixed Models Using R And Rstudio (IMMR07)

https://www.prstatistics.com/course/introduction-to-mixed-models-using-r-and-rstudio-immr07/

24th - 26th October

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Limited early bird tickets available prioced @ £150.00

Courses are recorded to accommodate different time zones. All attendees
will have access to recordings for a further 3 months after the course to
revisit any of the classes.

*COURSE OVERVIEW - *In this two day course, we provide 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. On Day 1, 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
regresssion models. On Day 2, we cover further aspects of linear mixed
effects models, including multilevel models for nested and crossed data
data, and group level predictor variables. On Day 2, we also cover Bayesian
approaches to multilevel levels using the brms R package.

Please email oliverhooker using prstatistics.com with any questions.

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Oliver Hooker PhD.
PR statistics

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