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Flexible Bayesian P-splines for smoothing age-specific spatio-temporal mortality patterns
dc.creator | Goicoa Mangado, Tomás | es_ES |
dc.creator | Adin Urtasun, Aritz | es_ES |
dc.creator | Etxeberria Andueza, Jaione | es_ES |
dc.creator | Militino, Ana F. | es_ES |
dc.creator | Ugarte Martínez, María Dolores | es_ES |
dc.date.accessioned | 2024-01-18T09:19:03Z | |
dc.date.available | 2024-01-18T09:19:03Z | |
dc.date.issued | 2019 | |
dc.identifier.citation | Goicoa, T., Adin, A., Etxeberria, J., Militino, A., & Ugarte, M. (2019). Flexible Bayesian P-splines for smoothing age-specific spatio-temporal mortality patterns. Statistical Methods in Medical Research, 28(2), 384-403. https://doi.org/10.1177/0962280217726802 | en |
dc.identifier.issn | 0962-2802 | |
dc.identifier.uri | https://hdl.handle.net/2454/47040 | |
dc.description.abstract | In this paper age-space-time models based on one and two-dimensional P-splines with B-spline bases are proposed for smoothing mortality rates, where both xed relative scale and scale invariant two-dimensional penalties are examined. Model tting and inference are carried out using integrated nested Laplace approximations (INLA), a recent Bayesian technique that speeds up computations compared to McMC methods. The models will be illustrated with Spanish breast cancer mortality data during the period 1985-2010, where a general decline in breast cancer mortality has been observed in Spanish provinces in the last decades. The results reveal that mortality rates for the oldest age groups do not decrease in all provinces. | en |
dc.description.sponsorship | This work has been supported by the Spanish Ministry of Economy and Competitiveness (project MTM2014-51992-R), and by the Health Department of the Navarre Government (Project 113, Res.2186/2014). | en |
dc.format.mimetype | application/pdf | en |
dc.language.iso | eng | en |
dc.publisher | SAGE | en |
dc.relation.ispartof | Statistical Methods in Medical Research, 28(2), 384-403 | en |
dc.rights | © The Author(s) 2017. | en |
dc.subject | Breast cancer mortality | en |
dc.subject | Disease mapping | en |
dc.subject | INLA | en |
dc.subject | Smoothing | en |
dc.subject | Time-space-age models | en |
dc.title | Flexible Bayesian P-splines for smoothing age-specific spatio-temporal mortality patterns | en |
dc.type | Artículo / Artikulua | es |
dc.type | info:eu-repo/semantics/article | en |
dc.date.updated | 2024-01-18T09:01:23Z | |
dc.contributor.department | Estadística, Informática y Matemáticas | es_ES |
dc.contributor.department | Estatistika, Informatika eta Matematika | eu |
dc.contributor.department | Institute for Advanced Materials and Mathematics - INAMAT2 | en |
dc.rights.accessRights | Acceso abierto / Sarbide irekia | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | en |
dc.identifier.doi | 10.1177/0962280217726802 | |
dc.relation.projectID | info:eu-repo/grantAgreement/MINECO//MTM2014-51992-R/ES/ | en |
dc.relation.projectID | info:eu-repo/grantAgreement/Gobierno de Navarra//Project 113 | en |
dc.relation.publisherversion | https://doi.org/10.1177/0962280217726802 | |
dc.type.version | Versión aceptada / Onetsi den bertsioa | es |
dc.type.version | info:eu-repo/semantics/acceptedVersion | en |