*We Only Have ONE! Early Bird Ticket Left – £400* (Great value for a 40-hour course taught by an ecological statistician, with 30 days of access to recorded lectures after the course ends) Introduction to Generalised Linear Models for Ecologists (GLME01)
*Master the fundamentals of GLMs in R with a focus on ecology!* *Dates:* 8th–12th & 15th–19th September 2025 *Format:* 10 half-day sessions (4 hours each), live online. Recordings available the same day, with access for 30 days. *Cost:* Early Bird £400 (only 1 left) · Standard Price £450 Course Page & Registration <https://www.prstats.org/course/introduction-to-generalised-linear-models-for-ecologists-glme01/> ------------------------------ Why This Course? Traditional introductory statistics often treat t-tests, ANOVA, and regression as separate topics. GLMs provide a unified, flexible framework to model a wide range of ecological data—from continuous measurements to binary and count outcomes. ------------------------------ Course Description This 10-day course provides a comprehensive introduction to Generalised Linear Models (GLMs) using R. GLMs extend linear models to handle data with non-normal error structures, including binary, count, and proportion data. Through a combination of lectures and hands-on exercises, participants will learn how to prepare data, fit GLMs, interpret results, and apply them to ecological datasets. No prior experience with GLMs is required, but familiarity with R and linear models is recommended. The course is ideal for researchers, analysts, and students seeking a solid foundation in applied statistical modelling. ------------------------------ What You’ll Learn - The theoretical foundations of GLMs - How to choose error structures and link functions - Fitting logistic, Poisson, and other GLMs in R - Model selection, diagnostics, and assumption checking - Interpreting coefficients and assessing model fit - Visualising and communicating model results - Common pitfalls and how to avoid them - Applying GLMs to real-world ecological data ------------------------------ *Contact:* [email protected] -- Oliver Hooker PhD. PR stats [[alternative HTML version deleted]] _______________________________________________ R-sig-ecology mailing list [email protected] https://stat.ethz.ch/mailman/listinfo/r-sig-ecology
