Dates: 21-22 June 2012
Module Linear Mixed Models
In this module we discuss how to analyze dependent
data, that is, data for which the assumption of independence needed in Linear
Models is violated.
So:
Do you have a nested experimental setup? 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 analyze 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. Please bring along your own data if you have any!
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Target group: |
PhD students |
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Group size: |
24 participants |
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Course duration |
2 days |
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Language |
English |
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frequency: |
once per year |
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Number of credits |
0.6 ECTS |
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Prior knowledge |
Knowledge level obtained from the Linear Models Module |
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Course leader |
Dr. G. Gort |
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Location |
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COURSE FEE
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PE&RC* / SENSE / EPS PhD candidates with an approved Education Plan (TSP) |
€ 100 |
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All other PhD's and Wageningen University staff |
€ 250 |
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Non-Wageningen University, non PhD participants |
€ 500 |
Course fee includes a reader, coffee/tea and lunches
* For PE&RC and EPS PhD's the reduced fee only applies to those who will defend their thesis at Wageningen University
Please download the registration form and send it to pe-office@wur.nl
Full registration only occurs once
you have provided us with the requested information as stated above. Afterwards
you will receive an official registration confirmation by one of the course
organizers.
Further information please contact:
Dr. G. Gort
Tel: + 31 (0)317-483570
Email: Gerrit.Gort@wur.nl
Dr. C. Van de Vijver
Tel: + 31 (0)317-485116
Email: Claudius.vandeVijver@wur.nl