Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/16236
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dc.contributor.authorAYELE, Girma-
dc.contributor.authorAERTS, Marc-
dc.contributor.authorCoenen, Samuel-
dc.contributor.authorVersporten, Ann-
dc.contributor.authorMuller, Arno-
dc.contributor.authorAdriaenssens, Niels-
dc.contributor.authorBeutels, Philippe-
dc.contributor.authorMOLENBERGHS, Geert-
dc.contributor.authorGoossens, Herman-
dc.contributor.authorHENS, Niel-
dc.date.accessioned2014-01-30T14:32:27Z-
dc.date.available2014-01-30T14:32:27Z-
dc.date.issued2013-
dc.identifier.citationSTATISTICAL MODELLING, 13 (3), p. 253-274-
dc.identifier.issn1471-082X-
dc.identifier.urihttp://hdl.handle.net/1942/16236-
dc.description.abstractIn this paper, we propose a change-point mixed model to assess the change in the trend of outpatient antibiotic use in a Bayesian framework, where the change-points are unknown parameters of the model. Model selection using DIC indicates that the data supports the model with a country-specific change-point. The location of the change-points may be related to points in time where public health strategies aiming at increasing the awareness of the public to a more rational use of antibiotics or targeting to reduce overconsumption of antibiotics were initiated.-
dc.description.sponsorshipWe also gratefully acknowledge support from IAP research Network #P6/03 of the Belgian Government (Belgian Science Policy). The 1997-2005 data collection was funded by a grant from DG SANCO of the European Commission (Grant Agreement 20033211), whereas the 2006-09 data collection was funded by the ECDC (Grant Agreement 2007/001).-
dc.language.isoen-
dc.rights(C) 2013 SAGE Publications-
dc.subject.otheramplitude; antibiotice use; change-point model; non-mlinear model; phase shift; scasonal variation-
dc.titleAdaptive change-point mixed models applied to data on outpatient tetracycline use in Europe-
dc.typeJournal Contribution-
dc.identifier.epage274-
dc.identifier.issue3-
dc.identifier.spage253-
dc.identifier.volume13-
local.bibliographicCitation.jcatA1-
local.type.refereedRefereed-
local.type.specifiedArticle-
local.classdsPublValOverrule/author_version_not_expected-
dc.identifier.doi10.1177/1471082X13485404-
dc.identifier.isi000320228900004-
item.validationecoom 2014-
item.contributorAYELE, Girma-
item.contributorAERTS, Marc-
item.contributorCoenen, Samuel-
item.contributorVersporten, Ann-
item.contributorMuller, Arno-
item.contributorAdriaenssens, Niels-
item.contributorBeutels, Philippe-
item.contributorMOLENBERGHS, Geert-
item.contributorGoossens, Herman-
item.contributorHENS, Niel-
item.fullcitationAYELE, Girma; AERTS, Marc; Coenen, Samuel; Versporten, Ann; Muller, Arno; Adriaenssens, Niels; Beutels, Philippe; MOLENBERGHS, Geert; Goossens, Herman & HENS, Niel (2013) Adaptive change-point mixed models applied to data on outpatient tetracycline use in Europe. In: STATISTICAL MODELLING, 13 (3), p. 253-274.-
item.fulltextWith Fulltext-
item.accessRightsOpen Access-
crisitem.journal.issn1471-082X-
crisitem.journal.eissn1477-0342-
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