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dc.contributor.authorAyma, D.
dc.contributor.authorDurban, M.
dc.contributor.authorLee, D.-J. 
dc.contributor.authorEilers, P.H.C.
dc.date.accessioned2017-02-09T19:05:39Z
dc.date.available2017-02-09T19:05:39Z
dc.date.issued2015-05
dc.identifier.issn2387-0303
dc.identifier.urihttp://hdl.handle.net/20.500.11824/363
dc.description.abstractMortality data provide valuable information for the study of the spatial distribution of mortality risk, in disciplines such as spatial epidemiology, medical demography, and public health. However, they are often available in an aggregated form over irregular geographical units, hindering the visualization of the underlying mortality risk and the detection of meaningful patterns. Also, it could be of interest to obtain mortality risk estimates on a finer spatial resolution, such that they can be linked with potential risk factors — in a posterior correlation analysis — that are usually measured in a different spatial resolution than mortality data. In this paper, we propose the use of the penalized composite link model and its representation as a mixed model to deal with these issues. This model takes into account the nature of mortality rates by incorporating the population size at the finest resolution, and allows the creation of mortality maps at a desirable scale, reducing the visual bias resulting from the spatial aggregation within original units. We illustrate our proposal with the analysis of several datasets related with deaths by respiratory diseases, cardiovascular diseases, and lung cancer.en_US
dc.description.sponsorshipMTM2011-28285-C02-02 MTM2014-52184-Pen_US
dc.formatapplication/pdfen_US
dc.language.isoengen_US
dc.rightsReconocimiento-NoComercial-CompartirIgual 3.0 Españaen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/es/en_US
dc.subjectPenalized composite link modelsen_US
dc.subjectMixed Modelsen_US
dc.subjectMortality ratesen_US
dc.subjectSpatial disaggregationen_US
dc.titlePenalized composite link mixed models for two-dimensional count dataen_US
dc.typeinfo:eu-repo/semantics/reporten_US
dc.relation.publisherversionhttp://e-archivo.uc3m.es/handle/10016/20672en_US
dc.relation.projectIDES/1PE/SEV-2013-0323en_US
dc.relation.projectIDEUS/BERC/BERC.2014-2017en_US
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessen_US
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersionen_US


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Reconocimiento-NoComercial-CompartirIgual 3.0 España
Except where otherwise noted, this item's license is described as Reconocimiento-NoComercial-CompartirIgual 3.0 España