Introduction to Generalised Linear Models for Ecologists (GLME01) https://www.prstats.org/course/introduction-to-generalised-linear-models-for... 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. Who should attend? - 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 What you'll learn - 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 Course format - *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 Prerequisites - 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 ------------------------------ Secure your place and power your marine mammal research with GLMs! Register or find out more on the PR stats course page or email oliverhooker@prstatistics.com. -- Oliver Hooker PhD. PR stats