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http://hdl.handle.net/1942/16236
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DC Field | Value | Language |
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dc.contributor.author | AYELE, Girma | - |
dc.contributor.author | AERTS, Marc | - |
dc.contributor.author | Coenen, Samuel | - |
dc.contributor.author | Versporten, Ann | - |
dc.contributor.author | Muller, Arno | - |
dc.contributor.author | Adriaenssens, Niels | - |
dc.contributor.author | Beutels, Philippe | - |
dc.contributor.author | MOLENBERGHS, Geert | - |
dc.contributor.author | Goossens, Herman | - |
dc.contributor.author | HENS, Niel | - |
dc.date.accessioned | 2014-01-30T14:32:27Z | - |
dc.date.available | 2014-01-30T14:32:27Z | - |
dc.date.issued | 2013 | - |
dc.identifier.citation | STATISTICAL MODELLING, 13 (3), p. 253-274 | - |
dc.identifier.issn | 1471-082X | - |
dc.identifier.uri | http://hdl.handle.net/1942/16236 | - |
dc.description.abstract | In 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.sponsorship | We 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.iso | en | - |
dc.rights | (C) 2013 SAGE Publications | - |
dc.subject.other | amplitude; antibiotice use; change-point model; non-mlinear model; phase shift; scasonal variation | - |
dc.title | Adaptive change-point mixed models applied to data on outpatient tetracycline use in Europe | - |
dc.type | Journal Contribution | - |
dc.identifier.epage | 274 | - |
dc.identifier.issue | 3 | - |
dc.identifier.spage | 253 | - |
dc.identifier.volume | 13 | - |
local.bibliographicCitation.jcat | A1 | - |
local.type.refereed | Refereed | - |
local.type.specified | Article | - |
local.class | dsPublValOverrule/author_version_not_expected | - |
dc.identifier.doi | 10.1177/1471082X13485404 | - |
dc.identifier.isi | 000320228900004 | - |
item.fulltext | With Fulltext | - |
item.fullcitation | AYELE, 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.accessRights | Open Access | - |
item.validation | ecoom 2014 | - |
item.contributor | AYELE, Girma | - |
item.contributor | AERTS, Marc | - |
item.contributor | Coenen, Samuel | - |
item.contributor | Versporten, Ann | - |
item.contributor | Muller, Arno | - |
item.contributor | Adriaenssens, Niels | - |
item.contributor | Beutels, Philippe | - |
item.contributor | MOLENBERGHS, Geert | - |
item.contributor | Goossens, Herman | - |
item.contributor | HENS, Niel | - |
crisitem.journal.issn | 1471-082X | - |
crisitem.journal.eissn | 1477-0342 | - |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
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minalu 1.pdf | Published version | 1.79 MB | Adobe PDF | View/Open |
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