Dear all, There are only a few seats available for our online course Generalized Linear Models in R, taking place from 25–29 May. Many statistical methods commonly taught as separate tools (t-tests, ANOVA, regression) are in fact part of a single, powerful framework: Generalized Linear Models (GLMs). This course presents GLMs as a unified and practical approach for analysing real biological and experimental data in R, including Gaussian, binary, and count data. During the course, you will learn how to: Fit and interpret GLMs in R (including logistic and Poisson regression) Work with categorical and continuous predictors Understand model selection and diagnostic approaches Visualize and effectively communicate model results Build a strong foundation for advanced methods such as mixed models, GAMs, and Bayesian approaches Best regards, Carlo
-------------------- Carlo Pecoraro, Ph.D Physalia-courses DIRECTOR [email protected] mobile: +49 17645230846 [ Bluesky ]( https://bsky.app/profile/physaliacourses.bsky.social ) [ Linkedin ]( https://www.linkedin.com/in/physalia-courses-a64418127/ ) [[alternative HTML version deleted]] _______________________________________________ R-sig-genetics mailing list [email protected] https://stat.ethz.ch/mailman/listinfo/r-sig-genetics
