Dive into the power of Generalised Linear Models (GLMs)! Whether you’re studying species presence, abundance, or behavioural occurrences, GLMs unlock the ability to model binary, count, and proportion data—critical for marine ecology.
Marine mammal ecologists analysing presence/absence data for marine mammals like seals or dolphins
Researchers modelling strandings, sightings, or acoustic detections
Conservation analysts examining count data from surveys or passive acoustic monitoring
Graduate students and early-career scientists eager to learn interpretable, robust statistical models in R
The principles and extensions of GLMs: logistic regression for binary outcomes, Poisson/negative‑binomial for counts, and models for overdispersion/zero-inflation
Practical implementation in R using glm()—from model fitting to diagnostics and interpretation
Strategies to model challenging marine datasets such as zero-inflated counts and proportion data
Live online over 10 days, 4 hours per day, with interactive lectures and hands-on R sessions
Timezone: Ireland/GMT, with recordings for worldwide participants
Fee: First 10 places £400 - Normal price £450
Basic experience with R and RStudio—importing data, manipulating data.frames, and generating simple plots
Understanding of fundamental statistics (mean, variance, correlation)
No prior GLM knowledge—everything is introduced from first principles
Register or find out more on the PR stats course page or email oliverhooker@prstatistics.com.