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oai:ebyu-rdlopen.rawdatalibrary.net:ebyu/160282026-10-18T20:30:52Zopenairedrivercom_ebyu_10000col_ebyu_10001

Comparing different sedation medications using generalized estimating equations approachCengiz, M.A.Şenel, T.Terzi, Y.Murat, N.Savaş, N.Generalized linear modelsMidazolamSedationdiazepamphenobarbitalsedative agentadolescentanesthesia levelarticlecalculationchildcomputer assisted tomographycontrolled studyfemalegeneralized estimating equationgeneralized linear modelhumanindependent variableinfantintermethod comparisonmalemathematical modelnuclear magnetic resonance imagingGeneralized 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.2010Articlehttps://rdlopen.rawdatalibrary.net/r/ebyu/160281996-0816enAfrican Journal of Pharmacy and Pharmacologyinfo:eu-repo/semantics/openAccessinfo:eu-repo/semantics/articlehttps://ebyu-rdlopen.rawdatalibrary.net/tr/items/ebyu/16028