A comparative study of fixed effects models and random intercept/slope models as a special case of linear mixed models for repeated measurements

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dc.contributor.authorİyit, Neslihan
dc.contributor.authorGenç, Aşır
dc.date.accessioned2017-01-09T08:00:08Z
dc.date.available2017-01-09T08:00:08Z
dc.date.issued2007
dc.descriptionhttp://sjam.selcuk.edu.tr/sjam/article/view/184en_US
dc.description.abstractAny dataset in which subjects are measured repeatedly over time or space can be described as repeated measurements data. A linear mixed model (LMM) is a powerful method for analyzing repeated measurements data. It is made up of two components. The first component consists of a regression model for the average response over time and the effects of covariates on this average response. The second component provides a model for the pattern of covariances or correlations between the repeated measurements. In this study, a comparative evaluation of fixed effects models with random intercept models and random intercept and slope models as a special case of random effects models from linear mixed models are taken into consideration and the superiority of random intercept and slope models allow to modeling possible heterogeneity in intercepts and in slopes of the individual's own regression line for repeated measurements data is emphasized.en_US
dc.identifier.citationİyit, N., Genç, A. (2007). A comparative study of fixed effects models and random intercept/slope models as a special case of linear mixed models for repeated measurements. Selcuk Journal of Applied Mathematics, 8 (1), 57-74.en_US
dc.identifier.endpage74
dc.identifier.issn1302-7980en_US
dc.identifier.startpage57
dc.identifier.urihttps://hdl.handle.net/20.500.12395/3765
dc.identifier.volume8
dc.language.isoenen_US
dc.publisherSelcuk University Research Center of Applied Mathematicsen_US
dc.relation.ispartofSelcuk Journal of Applied Mathematicsen_US
dc.relation.publicationcategoryMakale - Kategori Belirleneceken_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectRepeated measurementen_US
dc.subjectLinear mixed modelen_US
dc.subjectFixed effects modelen_US
dc.subjectRandom effects modelen_US
dc.subjectRandom intercept modelen_US
dc.subjectRandom intercept and slope modelen_US
dc.subjectMauchly's sphericity testen_US
dc.subjectCompound symmetry patternen_US
dc.subjectTekrarlı ölçümen_US
dc.subjectDoğrusal karışık modelen_US
dc.subjectSabit efektler modelien_US
dc.subjectRassal etkiler modelien_US
dc.subjectRasgele kesme modelien_US
dc.subjectRasgele kesişim ve eğim modelien_US
dc.subjectMauchly'nin küresellik testien_US
dc.subjectBileşik simetri paternien_US
dc.titleA comparative study of fixed effects models and random intercept/slope models as a special case of linear mixed models for repeated measurementsen_US
dc.typeArticleen_US

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