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dc.creatorEtxeberria Andueza, Jaionees_ES
dc.creatorGoicoa Mangado, Tomáses_ES
dc.creatorLópez Abente, Gonzaloes_ES
dc.creatorRiebler, Andreaes_ES
dc.creatorUgarte Martínez, María Doloreses_ES
dc.date.accessioned2018-09-06T12:20:22Z
dc.date.available2018-09-06T12:20:22Z
dc.date.issued2017
dc.identifier.issn1932-6203
dc.identifier.urihttps://hdl.handle.net/2454/30553
dc.description.abstractRecently, the interest in studying pancreatic cancer mortality has increased due to its high lethality. In this work a detailed analysis of pancreatic cancer mortality in Spanish provinces was performed using recent data. A set of multivariate spatial gender-age-period-cohort models was considered to look for potential candidates to analyze pancreatic cancer mortality rates. The selected model combines features of APC (age-period-cohort) models with disease mapping approaches. To ensure model identifiability sum-to-zero constraints were applied. A fully Bayesian approach based on integrated nested Laplace approximations (INLA) was considered for model fitting and inference. Sensitivity analyses were also conducted. In general, estimated average rates by age, cohort, and period are higher in males than in females. The higher differences according to age between males and females correspond to the age groups [65, 70), [70, 75), and [75, 80). Regarding the cohort, the greatest difference between men and women is observed for those born between the forties and the sixties. From there on, the younger the birth cohort is, the smaller the difference becomes. Some cohort differences are also identified by regions and age-groups. The spatial pattern indicates a North-South gradient of pancreatic cancer mortality in Spain, the provinces in the North being the ones with the highest effects on mortality during the studied period. Finally, the space-time evolution shows that the space pattern has changed little over time.en
dc.description.sponsorshipThis work was supported by Spanish Ministry of Economy and Competitiveness (Project MTM 2014-51992-R) (Ugarte, Etxeberria, Goicoa) and Health Department of the Navarre Government (Project 113, Res.2186/2014) (Ugarte, Etxeberria, Goicoa).en
dc.format.mimetypeapplication/pdfen
dc.format.mimetypeapplication/zipen
dc.language.isoengen
dc.publisherPublic Library of Scienceen
dc.relation.ispartofPlos One, 12(2):e0169751en
dc.rights© 2017 Etxeberria et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.en
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectPancreatic cancer mortalityen
dc.subjectSpainen
dc.titleSpatial gender-age-period-cohort analysis of pancreatic cancer mortality in Spain (1990-2013)en
dc.typeinfo:eu-repo/semantics/articleen
dc.typeArtículo / Artikuluaes
dc.contributor.departmentInaMat - Institute for Advanced Materialsen
dc.contributor.departmentUniversidad Pública de Navarra. Departamento de Estadística e Investigación Operativaes_ES
dc.contributor.departmentNafarroako Unibertsitate Publikoa. Estatistika eta Ikerketa Operatiboa Sailaeu
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessen
dc.rights.accessRightsAcceso abierto / Sarbide irekiaes
dc.identifier.doi10.1371/journal.pone.0169751
dc.identifier.doi10.1371/journal.pone.0169751.s001
dc.relation.projectIDinfo:eu-repo/grantAgreement/ES/1PE/MTM2014-51992-Ren
dc.relation.publisherversionhttps://doi.org/10.1371/journal.pone.0169751
dc.type.versioninfo:eu-repo/semantics/publishedVersionen
dc.type.versionVersión publicada / Argitaratu den bertsioaes
dc.contributor.funderGobierno de Navarra / Nafarroako Gobernua, 113, Res.2186/2014es


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© 2017 Etxeberria et al. This is an open
access article distributed under the terms of the
Creative Commons Attribution License, which
permits unrestricted use, distribution, and
reproduction in any medium, provided the original
author and source are credited.
Except where otherwise noted, this item's license is described as © 2017 Etxeberria et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.