Goicoa Mangado, TomásAdin Urtasun, AritzEtxeberria Andueza, JaioneMilitino, Ana F.Ugarte Martínez, María Dolores2024-01-182024-01-182019Goicoa, 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/10.1177/09622802177268020962-280210.1177/0962280217726802https://academica-e.unavarra.es/handle/2454/47040In 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.application/pdfeng© The Author(s) 2017.Breast cancer mortalityDisease mappingINLASmoothingTime-space-age modelsArtículo / Artikulua2024-01-18Acceso abierto / Sarbide irekiainfo:eu-repo/semantics/openAccess