[R-sig-ME] Master Mixed Models – Essential Tools for Complex Biological Data

[Oliver Hooker]

*Master Mixed Models – Essential Tools for Complex Biological Data*

Working with repeated or hierarchical data? This course is for you.

Join our practical course: *Introduction to Mixed Models Using R and
RStudio
<https://www.prstats.org/course/introduction-to-mixed-models-using-r-and-rstudio-immr09/>*

*Course dates:* 27th May 2025

*Location:* Online Live Course

Biological and ecological data often involve nested or repeated
measurements that require more flexible statistical approaches. This course
gives you the tools to analyse such data using linear mixed-effects models
in R.

Led by experienced instructors, you’ll learn:

   -

   How and when to use mixed models
   -

   The structure and interpretation of random effects
   -

   Fitting models using lme4 and other R packages
   -

   Dealing with nested, grouped, and repeated measures
   -

   Visualising and reporting mixed model results

*Who should attend?*

Researchers in biology, ecology, and related fields who already use R and
need to handle complex or hierarchical data.

*Why join us?*

Get a strong grounding in mixed model theory and its real-world
application—backed by hands-on coding, small group sessions, and biological
datasets.

*Spaces are limited – reserve your spot today.*

👉 View full course details and register now
<https://www.prstats.org/course/introduction-to-mixed-models-using-r-and-rstudio-immr09/>


-- 
Oliver Hooker PhD.
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