Introduction to Generalized Linear Models
Workshop
Introduction
Introductory workshop about Generalized Linear Models starting from the general theory, model fitting, parameters interpretation and data simulation.
Slides
| Title | Date |
|---|---|
| Introduction to Generalized Linear Models for Psychology | Last modified: 29-01-2026 |
| Binomial GLM example | Last modified: 29-01-2026 |
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Materials
- GLMphd is a complete course on GLM part of the PhD Course in Psychological Sciences (University of Padova).
- General workflow for Monte Carlo Simulations: a short blog post about a general framework to create MCS in R.
Books
Some books about Generalized Linear Models:
- Gelman, A., Hill, J., & Vehtari, A. (2020). Regression and Other Stories. Cambridge University Press. https://doi.org/10.1017/9781139161879
- Agresti, A. (2018). An Introduction to Categorical Data Analysis. John Wiley & Sons.
- Agresti, A. (2015). Foundations of Linear and Generalized Linear Models. John Wiley & Sons.
- Dunn, P. K., & Smyth, G. K. (2018). Generalized Linear Models With Examples in R. Springer.
- Fox, J. (2015). Applied Regression Analysis and Generalized Linear Models. SAGE Publications.
- Faraway, J. J. (2016). Extending the linear model with R: Generalized linear, mixed effects and nonparametric regression models, second edition. Chapman; Hall/CRC. https://doi.org/10.1201/9781315382722
- McCullagh, P., & Nelder, J. A. (1989). Generalized Linear Models (2nd ed.). Chapman & Hall/CRC. https://doi.org/10.1007/978-1-4899-3242-6