ADVANCED COURSE:
Mixed Models for Biologists: A practical crash courseMay 27-29, 2025 | Face-to-face and Online
Application deadline: May 15, 2025
Mixed models are a powerful, flexible tool that empower biologists to control for various sources of non-independence (“pseudoreplication”) without losing (hardly any) statistical power to detect a significant pattern in their variable of interest. In this three-day course, students, who must already be familiar with linear models and GLM in R, will learn how to code and implement the next natural step: mixed models. Students will learn the difference between fixed effects and random effects, will learn how to ditch clunky transformations and instead embrace the native distribution of the data, and will be forced to think critically about experimental design.
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