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.
On day 3 we look into GLMM’s (Generalized Linear Mixed Models). By introduction of random effects into the ordinary GLM, the assumption of independent observations is relaxed. Some knowledge of Mixed Models is required, e.g. as presented in the PhD course Mixed Models. We will mainly use R package glmmTMB to fit the GLMM’s.
| Day 1 | Logistic regression |
| Day 2 | Morning: Poisson regression Afternoon: Miscellaneous topics related to GLMs |
| Day 3 | Generalized Linear Mixed models |
| Target Group | The course is aimed at PhD candidates and other academics |
| Group Size | Max. 24 participants |
| Course duration | 3 days |
| Prior knowledge | Knowledge of Basic Statistics and Linear Models and some experience with the software package R are assumed |
| Lecturers | Dr. Gerrit Gort (Biometris, Wageningen University) |
| FEE1 | |
| PE&RC/WIMEK/WASS/EPS/VLAG/WIAS PhD candidates with approved TSP and WU EngD candidates | € 180,- |
| PE&RC postdocs and staff | € 360,- |
| All other academic participants | € 400,- |
| Non-academic participants | € 760,- |
1 The course fee includes a reader, coffee/tea, and lunches. It does not include accommodation .
Note:
PE&RC Cancellation Conditions
IMPORTANT: ALWAYS read the Cancellation conditions for PE&RC courses and activities.
- Dr. Gerrit Gort (Lecturer)
Phone: +31 (0) 317 483570
Email: gerrit.gort@wur.nl
- PE&RC Office
Email: office.pe@wur.nl
