Mixed Linear Models

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Please note that, at this stage, this event is fully booked. Nevertheless, you are most welcome to register for this event, and accordingly, we will place you in a waiting list. Should any of the registered participants cancel his/her registration (which is quite common), we will notify you and ask you whether you would still like to participate in this event. If we do not contact you again with respect to this event, you may assume that no vacancies have arisen.

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Mixed Linear Models

29 - 30 June 2017

Scope

In this module we discuss how to analyse dependent data, that is, data for which the assumption of independence needed in Linear Models is violated. So: Do you have a nested experimental set-up? Like measurements on large plots, but also on smaller plots within the larger plots? Do you have repeated measurements? Like measurements on height of the same plant over time? Or weight of the same animal over time? Do you have pseudo-replication? Like measuring 3 plants from the same pot? In this sort of situations it is not reasonable to use ordinary ANOVA or regression to analyse your data. These methods are likely too optimistic, and you will get erroneous significant results. And your paper will be returned for, hopefully, a major revision! With mixed linear models a more appropriate model, allowing for dependence between observations, can be specified, which will lead to more reasonable conclusions.
In this module, you will learn about these models (also about the formulation in matrix notation, covariance matrices included), about the way to fit them to your data using software, and about the output produced by the software. In computer sessions participants can practice fitting models of this type, and gain an understanding of the output created by the software. You are encouraged to bring along your own data if you have any. The main statistical software used in this course is R.

Programme
  • Day 1, morning: Gentle introduction to mixed models
  • Day 1, afternoon: General theory of mixed models, examples of some variance components models with R
  • Day 2, morning: Estimation and testing in a mixed model
  • Day 2, afternoon: Repeated measurements with examples in R
 
General information
 
Target Group The course is aimed at PhD candidates and other academics
Group Size 24 participants
Course duration 2 days
Language of instruction English
Frequency of recurrence Once a year (Summer)
Number of credits 0.6 ECTS
Lecturers Dr. Gerrit Gort (Biometris, Wageningen University), Dr. Bas Engel (Biometris, Wageningen University)
Prior knowledge Knowledge of Basic Statistics and Linear Models and some experience with the software package R are assumed
Location Wageningen University Campus
Options for accommodation Accommodation is not included in the fee of the course, but there are several possibilities in Wageningen. For information on B&B's and hotels in Wageningen please visit proefwageningen.nl. Another option is Short Stay Wageningen. Furthermore Airbnb offers several rooms in the area. Note that besides the restaurants in Wageningen, there are also options to have dinner at Wageningen Campus.

 

Fees 1
 
  EARLY-BIRD FEE 2 REGULAR FEE 2
PE&RC 3 / SENSE / WASS / EPS PhD candidates with an approved TSP €    150,- €    175,-
All other PhD candidates, postdocs and other academic staff €    300,- €    325,-
Participants from the private sector €    600,- €    625,-

1 The course fee includes a reader, coffee/tea, and lunches. It does not include accommodation (NB: options for accommodation are given above)
2 The Early-Bird Fee applies to anyone who REGISTERS ON OR BEFORE 1 JUNE 2017
3 Those defending their thesis at Wageningen University and Research and those that
 are a member of IBED Amsterdam or VU Amsterdam
Note:

  • If you need an invoice to complete your payment, please send an email to office.pe@wur.nl, including ALL relevant details that should be mentioned on the invoice (e.g., purchase order no., specific addresses, attendees, etc.).
  • The Early-Bird policy is such that the moment of REGISTRATION (and not payment) is leading for determining the fee that applies to you.
  • Please make sure that your payment is arranged within two weeks after your registration.
  • It is the participant's responsibility to make sure that he/she (or his/her secretary) completes the payment correctly and in time.
 
PE&RC Cancellation Conditions
  • Up to 4 (four) weeks prior to the start of the course, cancellation is free of charge.
  • Up to 2 (two) weeks prior to the start of the course, a fee of € 150,- will be charged.
  • In case of cancellation within two weeks prior to the start of the course, a fee of € 300,- will be charged.
  • If you do not show at all, a fee of € 600,- will nevertheless be charged.

Note: If you would like to cancel your registration, ALWAYS inform us (and do note that you will be kept to the cancellation conditions)

More information

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

Registration

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