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VERSION:2.0
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CALSCALE:GREGORIAN
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DTSTAMP:20260624T042441Z
UID:f588c90d-50b7-4050-b5f6-a52d36c035ba
DTSTART:20250605T090000Z
DTEND:20250606T170000Z
DESCRIPTION:Generalized linear Mixed Models is what you need when the outpu
 t of your experiment is not normally distributed. This happens often: prop
 ortions\, count data\, categorical outcome\, but also many continuous obse
 rvations in life sciences are skewed or constrained in one way or the othe
 r.This course is a follow up on the Linear Mixed Model course where al the
  ins and the out of clustered and dependent observations is explained. We 
 build further on this and add the complexity of the non-normality.
LOCATION:Ghent - VIB/UGent FSVM II\, Technologiepark 75
SUMMARY:Generalized linear models in R
URL;VALUE=URI:https://training.vib.be/all-trainings/generalized-linear-mode
 ls-r
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