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Course details for Mixed Linear Models S010A2
Course general details
Mixed Linear Models
S010A2
once per year
Course contents
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. Examples of situations where dependence is important are: repeated measurements, e.g. several observations on the same subject, the same plant, the same pen, the same cage,, split-plot experiments and other nested designs, e.g. data on animals in the same pen within the same farm or leaves of the same plant in the same pot within the same greenhouse, subsampling and pseudo-replication. In computer sessions participants can practice fitting models of this type, and gain an understanding of the output created by the software.
Advanced
0.60

This course has been scheduled for the following periods:

Period Location Credits Options
May 25, 2009 - May 26, 2009 Wageningen 0.00 Details
Jun 21, 2010 - Jun 22, 2010 Wageningen 0.60 Details
Last modified on Feb 26, 2010 02:01:17 PM by Renske Terhürne (614 Reads)