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.
Target Group | The course is aimed at PhD candidates and other academics |
Group Size | 24 participants |
Course duration | 3 days |
Language of instruction | English |
Frequency of recurrence | Once a year (Summer) |
Number of credits | 0.9 ECTS |
Lecturers | Dr. Gerrit Gort (Biometris, Wageningen University) |
Prior knowledge | Knowledge of Basic Statistics and Linear Models and some experience with the software package R are assumed |
Location | Wageningen Campus, Forum Building, Room B0106 |
Accommodation | Accommodation is not included in the fee of the course, but there are several possibilities in Wageningen. For non-WUR PE&RC members 50% of the accommodation costs can be reimbursed with a maximum of € 30,- per night, please contact the PE&RC Office (office.pe@wur.nl) for more information. For information on B&B's and hotels in Wageningen please visit Short Stay Wageningen. Furthermore Airbnb offers several rooms in the area. Finally, there are a number of groups on Facebook where students announce subrent possibilities and things like that. Examples include: Wageningen Room Subrent, Wageningen Room Sublets, Room Rent Wageningen, and Wageningen Student Plaza. Note that besides the restaurants in Wageningen, there are also options to have dinner on Wageningen Campus. |
EARLY-BIRD FEE 2 | REGULAR FEE 2 | |
PE&RC / WIMEK / VLAG / WIAS / WASS / EPS PhD candidates with an approved TSP and WU EngD candidates | € 170,- | € 220,- |
PE&RC postdocs and staff | € 340,- | € 390,- |
All other academic participants | € 380,- | € 430,- |
Non-academic participants | € 720,- | € 770,- |
1 The course fee includes a digital reader.
2 The Early-Bird Fee applies to anyone who REGISTERS BEFORE 14 April 2025
Note:
IMPORTANT: ALWAYS read the Cancellation conditions for PE&RC courses and activities.
Dr. Gerrit Gort
Phone: +31 (0) 317 483570
Email: gerrit.gort@wur.nl
Claudius van de Vijver (PE&RC)
Phone: +31 (0) 317 485116
Email: claudius.vandevijver@wur.nl
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