[R-sig-genetics] Introduction to Generalised Linear Mixed Models for Ecologists (MMIE01)

[Oliver Hooker]

*Course Title:* Introduction to Generalised Linear Mixed Models for
Ecologists (MMIE01)
https://www.prstats.org/course/introduction-to-generalised-linear-mixed-models-for-ecologists-mmie01/

*Dates:* 22–26 September 2025
*Format:* Live online (GMT+1) with recordings available for this who can't
join live
*Price:* £400 early‑bird (first 10 places), £450 thereafter
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Why Attend?

Unlock powerful statistical tools tailored for ecological research:

   -

   Dive into *generalised linear mixed models (GLMMs)* to model complex
   ecological datasets with hierarchical or grouped structure.
   -

   Learn to implement real-world analyses using *R packages including lme4
   and brms*, including Bayesian methods.
   -

   Tackle count, binary, overdispersed, and zero-inflated data with ease.
   -

   Engage in *hands‑on sessions*, workshops, and case studies—bring your
   own data to practice.
   -

   Benefit from *post-course support* and 30-day access to session
   recordings so you can catch up anytime.

------------------------------
Who Should Join?

Designed for ecologists, early-career researchers, postgraduate students,
and data analysts with basic R and statistical backgrounds:

   -

   Familiarity with R or RStudio basics, importing data, and simple linear
   models is recommended.
   -

   Experience with exploratory data tools (e.g. dplyr, ggplot2) is
   helpful—but not required.

------------------------------
What You'll Learn -

Over five days (approx. 40 learning hours), you’ll explore:

   1.

   *The GLMM framework*: fixed vs. random effects, hierarchical structures
   2.

   *Practice in R*: fitting GLMMs via lme4, exploring Bayesian extensions
   with brms
   3.

   *Model diagnostics*: checking assumptions, handling overdispersion,
   understanding shrinkage and intraclass correlation
   4.

   *Advanced structures*: nested vs crossed random effects, group-level
   predictors
   5.

   *Bayesian approaches*: how and when to use brms for complex ecological
   data.


   Please visit the course schedule
   <https://www.prstats.org/course/introduction-to-generalised-linear-mixed-models-for-ecologists-mmie01/>
   on the course webpage for a detailed outline of the topics covered.

------------------------------
Meet the Expert Instructors

Led by seasoned ecologists-statisticians, *Dr Niamh Mimnagh*, the course
brings real-world experience at the intersection of ecology, epidemiology,
and statistical methodology. Expect an engaging blend of theory,
interactive workshops, and lively Q&A sessions.
------------------------------
Ready to Advance Your Analysis?

Whether you're designing ecological field studies, managing wildlife
monitoring data, or analyzing species distributions over space and
time—this course equips you with practical expertise to unlock deeper
insights from your data.

Secure your place today and take your ecological modelling to the next
level!


Email oliverhooker using prstatistics.com with any questions

-- 
Oliver Hooker PhD.
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