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http://hdl.handle.net/1942/16236
Title: | Adaptive change-point mixed models applied to data on outpatient tetracycline use in Europe | Authors: | AYELE, Girma AERTS, Marc Coenen, Samuel Versporten, Ann Muller, Arno Adriaenssens, Niels Beutels, Philippe MOLENBERGHS, Geert Goossens, Herman HENS, Niel |
Issue Date: | 2013 | Source: | STATISTICAL MODELLING, 13 (3), p. 253-274 | 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. | Keywords: | amplitude; antibiotice use; change-point model; non-mlinear model; phase shift; scasonal variation | Document URI: | http://hdl.handle.net/1942/16236 | ISSN: | 1471-082X | e-ISSN: | 1477-0342 | DOI: | 10.1177/1471082X13485404 | ISI #: | 000320228900004 | Rights: | (C) 2013 SAGE Publications | Category: | A1 | Type: | Journal Contribution | Validations: | ecoom 2014 |
Appears in Collections: | Research publications |
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minalu 1.pdf | Published version | 1.79 MB | Adobe PDF | View/Open |
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