Drug dosage individualization based on a random-effects linear lodel

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dc.citation.journalTitleJournal Of Biopharmaceutical Statisticseng
dc.contributor.authorDiaz, Francisco J.
dc.contributor.authorCogollo, Myladis R.
dc.contributor.authorSpina, Edoardo
dc.contributor.authorSantoro, Vincenza
dc.contributor.authorRendon, Diego M.
dc.contributor.authorde Leon, Jose
dc.contributor.departmentUniversidad EAFIT. Escuela de Cienciasspa
dc.contributor.researchgroupModelado Matemáticospa
dc.date.accessioned2021-04-12T14:07:10Z
dc.date.available2021-04-12T14:07:10Z
dc.date.issued2012-01-01
dc.description.abstractThis article investigates drug dosage individualization when the patient population can be described with a random-effects linear model of a continuous pharmacokinetic or pharmacodynamic response. Specifically, we show through both decision-theoretic arguments and simulations that a published clinical algorithm may produce better individualized dosages than some traditional methods of therapeutic drug monitoring. Since empirical evidence suggests that the linear model may adequately describe drugs and patient populations, and linear models are easier to handle than the nonlinear models traditionally used in population pharmacokinetics, our results highlight the potential applicability of linear mixed models to dosage computations and personalized medicine. Copyright © Taylor & Francis Group, LLC.eng
dc.identifierhttps://eafit.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=1369
dc.identifier.doi10.1080/10543406.2010.547264
dc.identifier.issn10543406
dc.identifier.issn15205711
dc.identifier.otherWOS;000304678600003
dc.identifier.otherPUBMED;22416835
dc.identifier.otherSCOPUS;2-s2.0-84859191400
dc.identifier.urihttp://hdl.handle.net/10784/27756
dc.language.isoengeng
dc.publisherTAYLOR & FRANCIS INC
dc.relation.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84859191400&doi=10.1080%2f10543406.2010.547264&partnerID=40&md5=5233b238e63b9e257ccb59f654518199
dc.rightshttps://v2.sherpa.ac.uk/id/publication/issn/1054-3406
dc.sourceJournal Of Biopharmaceutical Statistics
dc.subject.keywordclozapineeng
dc.subject.keywordfluoxetineeng
dc.subject.keywordfluvoxamineeng
dc.subject.keywordparoxetineeng
dc.subject.keywordphenobarbitaleng
dc.subject.keywordvalproic acideng
dc.subject.keywordalgorithmeng
dc.subject.keywordarticleeng
dc.subject.keywordclinical practiceeng
dc.subject.keywordcomparative studyeng
dc.subject.keywordcomputer simulationeng
dc.subject.keyworddose calculationeng
dc.subject.keyworddose responseeng
dc.subject.keyworddrug blood leveleng
dc.subject.keyworddrug dose sequenceeng
dc.subject.keyworddrug monitoringeng
dc.subject.keywordhumaneng
dc.subject.keywordindividualizationeng
dc.subject.keywordoptimal drug doseeng
dc.subject.keywordpersonalized medicineeng
dc.subject.keywordpriority journaleng
dc.subject.keywordschizophreniaeng
dc.subject.keywordsmokingeng
dc.subject.keywordstatistical modeleng
dc.subject.keywordsteady stateeng
dc.subject.keywordDose-Response Relationshipeng
dc.subject.keywordDrugeng
dc.subject.keywordHumanseng
dc.subject.keywordIndividualized Medicineeng
dc.subject.keywordLinear Modelseng
dc.subject.keywordPharmaceutical Preparationseng
dc.subject.keywordRandom Allocationeng
dc.titleDrug dosage individualization based on a random-effects linear lodeleng
dc.typearticleeng
dc.typeinfo:eu-repo/semantics/articleeng
dc.typeinfo:eu-repo/semantics/publishedVersioneng
dc.typepublishedVersioneng
dc.type.localArtículospa

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