Early Bird Discount Ends: Generalized Linear Models (ONLINE/No Instructor)

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DATES: June 5 - August 27, 2023

Generalized linear models are widely used throughout ecology and wildlife management, as they allow us to analyze a wide variety of data, including counts, proportions, and continuous measurements such as length and weight. Being able to fit and interpret these models in R is a basic requirement for modern quantitative ecology. We cover Poisson and binomial models in detail, and extensions of these when the data are overdispersed and/or zero-inflated. We discuss model-checking and residual diagnostics, to see how well our model fits the data, and model comparison using AIC in order to see which terms should be included. Repeated measurements data, in which the response variable is measured at several points in time, are also considered in detail. We explain the distinction between fixed and random effects and show how to fit models that involve random effects. We make extensive use of R throughout the course.

(1) Instructor support. Reach out to your instructor over a 1-month period to get help as you work through prerecorded lectures, problem sets, and your own personal work. You then have access to the course for an additional 2 months. Instructor support includes emailing your instructor, accessing live discussion threads, and scheduling one-on-one appointments (Zoom or phone) about course material, your research, datasets from work, etc. You MUST select this option if you want to take the course for academic credit at your home institution or you would like to work with an instructor on a dataset from school or work.

(2) No instructor support (3 months of access to course materials)

  • Early bird course fee (ends May 7): $350 professional / $250 student

  • Regular course fee (after May 7): $400 professional / $300 student

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