Learn more about Generalized Linear Models in this Wageningen Summer School for PhD candidates and other academics.
In this module we study how to analyse data that are not normally distributed. We look at fractions (logistic regression), counts (Poisson regression, log-linear models), ordinal data (threshold models), and overdispersion. We discuss (quasi-) maximum likelihood estimation and the deviance. In computer practicals participants can familiarize themselves with models and methods. The main statistical software used in this course is R.
Meet the lecturers
Dr. Bas Engel (Biometris, Wageningen University)
Day 1: Logistic regression
Day 2: morning: Poisson regression
afternoon: Miscellaneous topics related to GLMs
Knowledge of Basic Statistics and Linear Models and some experience with the software package R are assumed