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dc.contributor.authorDuchateau, L.
dc.date.accessioned2014-10-31T06:09:02Z
dc.date.available2014-10-31T06:09:02Z
dc.date.issued1997
dc.identifier.isbnISBN 92-9146-026-5
dc.identifier.urihttps://hdl.handle.net/10568/50295
dc.description.abstractMixed models have important advantages as compared to fixed effects models. Complex data structures can be described in a natural way in mixed models. The analysis of unbalanced data is a straightforward extension of the analysis of balanced data in the mixed model framework. Furthermore, the appropriate inference space can be chosen in the mixed model. We further try to answer the question whether the advantages of the mixed model outweigh the cost one has to pay to use this methodology in the context of developing countries.
dc.language.isoen
dc.publisherInternational Biometric Society
dc.subjectMODELS
dc.subjectDEVELOPING COUNTRIES
dc.subjectCOSTS
dc.subjectSTATISTICAL METHODS
dc.subjectSTATISTICAL DATA
dc.titleComparing the mixed model and the fixed effects model: Do the advantages justify the costs?
dc.typeConference Paper
cg.subject.ilriTRADE
cg.subject.ilriRESEARCH
cg.identifier.statusLimited Access


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