Introduction to Generalised Linear Models for Ecologists Master the fundamentals of Generalised Linear Models in R.
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 disconnected procedures. GLMs, on the other hand, offer a unified, flexible framework to model a wide range of ecological data—from continuous measurements to binary and count outcomes. Duration: 10 Days, 4 hours per day Next Date: 8th – 12 & 15th – 19th September 2025 Format: Live Online Format Cost: First 10 places £400 Normal price £450 Course Description This 10-day course provides a comprehensive introduction to Generalised Linear Models (GLMs) using the R programming language. GLMs are a powerful extension of linear models that allow for response variables with error distributions other than the normal distribution, such as binary, count, or proportion data. Through a mix of lectures and practical exercises, this course introduces GLM theory and walks participants through data preparation, model fitting, diagnostics, interpretation, and visualisation. Each session focuses on a key GLM type, such as logistic regression or Poisson regression, using ecological datasets. No prior experience with GLMs is required, but basic familiarity with R and linear models is recommended. The course is suited to researchers, analysts, and students who want to build a strong foundation in applied statistical modelling. What You’ll Learn • The theoretical foundations of Generalised Linear Models (GLMs), • How to choose appropriate error structures and link functions, • How to fit logistic, Poisson, and other GLMs in R, • Techniques for model selection and checking model assumptions, • How to interpret model coefficients and assess goodness of fit, • Visualising and communicating model results effectively, • Common pitfalls and how to avoid them when using GLMs, • How to apply GLMs to real-world problems. Please email [email protected] with any questions. -- -- 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
