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Comparing different sedation medications using generalized estimating equations approach

ArticleAçık Erişim

Özet

Generalized estimating equations (GEE) provide an applicable approach to modelling repeated and clustered data that are often encountered in medical application. This approach is very useful especially when response variables are correlated and categorical, covariates are time-depended, there are a large number explanatory variables and missing data. In this study, using this approach we focus on modelling repeated sedation measurements obtained during magnetic resonance imaging (MRI) and computerized tomography (CT) for children. © 2010 Academic Journals.

Anahtar Kelimeler

Generalized linear modelsMidazolamSedationdiazepamphenobarbitalsedative agentadolescentanesthesia levelarticlecalculationchildcomputer assisted tomographycontrolled studyfemalegeneralized estimating equationgeneralized linear modelhumanindependent variableinfantintermethod comparisonmalemathematical modelnuclear magnetic resonance imaging
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Tam Kayıt
AlanDeğerDil
dc.contributor.authorCengiz, M.A.
dc.contributor.authorŞenel, T.
dc.contributor.authorTerzi, Y.
dc.contributor.authorMurat, N.
dc.contributor.authorSavaş, N.
dc.date.accessioned2026-10-18T20:30:52.067497648Z
dc.date.available2026-10-18T20:30:52.067497648Z
dc.date.issued2010
dc.description.abstractGeneralized estimating equations (GEE) provide an applicable approach to modelling repeated and clustered data that are often encountered in medical application. This approach is very useful especially when response variables are correlated and categorical, covariates are time-depended, there are a large number explanatory variables and missing data. In this study, using this approach we focus on modelling repeated sedation measurements obtained during magnetic resonance imaging (MRI) and computerized tomography (CT) for children. © 2010 Academic Journals.
dc.identifier.endpage134
dc.identifier.issn1996-0816
dc.identifier.issue4
dc.identifier.scopus2-s2.0-77951883134
dc.identifier.startpage130
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/ebyu/16028
dc.identifier.volume4
dc.language.isoen
dc.relation.ispartofAfrican Journal of Pharmacy and Pharmacology
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectGeneralized linear models
dc.subjectMidazolam
dc.subjectSedation
dc.subjectdiazepam
dc.subjectphenobarbital
dc.subjectsedative agent
dc.subjectadolescent
dc.subjectanesthesia level
dc.subjectarticle
dc.subjectcalculation
dc.subjectchild
dc.subjectcomputer assisted tomography
dc.subjectcontrolled study
dc.subjectfemale
dc.subjectgeneralized estimating equation
dc.subjectgeneralized linear model
dc.subjecthuman
dc.subjectindependent variable
dc.subjectinfant
dc.subjectintermethod comparison
dc.subjectmale
dc.subjectmathematical model
dc.subjectnuclear magnetic resonance imaging
dc.titleComparing different sedation medications using generalized estimating equations approach
dc.typeArticle
dspace.entity.typePublication
rdl.citation.scopus1
rdl.source.indexSCOPUS