Listar Artículos de revista - Aldizkari artikuluak por autor UPNA "Adin Urtasun, Aritz"
Mostrando ítems 1-12 de 12
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Alleviating confounding in spatio-temporal areal models with an application on crimes against women in India
Adin Urtasun, Aritz
; Goicoa Mangado, Tomás ; Hodges, James S.; Schnell, Patrick M.; Ugarte Martínez, María Dolores (SAGE Publications, 2021)
Artículo / Artikulua 
Assessing associations between a response of interest and a set of covariates in spatial areal models is the leitmotiv of ecological regression. However, the presence of spatially correlated random effects can mask or even ... -
Big problems in spatio-temporal disease mapping: methods and software
Orozco Acosta, Erick ; Adin Urtasun, Aritz ; Ugarte Martínez, María Dolores (Elsevier, 2023)
Artículo / Artikulua
Background and objective: Fitting spatio-temporal models for areal data is crucial in many fields such as cancer epidemiology. However, when data sets are very large, many issues arise. The main objective of this paper is ... -
Fatal tractor accidents in the agricultural sector in Spain during the past decade
Jarén Ceballos, Carmen ; Ibarrola, Alicia; Mangado Ederra, Txuma; Adin Urtasun, Aritz ; Arnal Atarés, Pedro ; López Maestresalas, Ainara ; Ríos Eraso, Alonso; Arazuri Garín, Silvia (MDPI, 2022)
Artículo / Artikulua
Currently, there is a discrepancy between the number of occupational accidents in the agricultural sector reported by Spanish governmental sources and those actually occurring in general. This is mainly due to the official ... -
Flexible Bayesian P-splines for smoothing age-specific spatio-temporal mortality patterns
Goicoa Mangado, Tomás; Adin Urtasun, Aritz ; Etxeberria Andueza, Jaione ; Militino, Ana F. ; Ugarte Martínez, María Dolores (SAGE, 2019)
Artículo / Artikulua
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 ... -
High-dimensional order-free multivariate spatial disease mapping
Vicente Fuenzalida, Gonzalo; Adin Urtasun, Aritz ; Goicoa Mangado, Tomás; Ugarte Martínez, María Dolores (Springer, 2023)
Artículo / Artikulua
Despite the amount of research on disease mapping in recent years, the use of multivariate models for areal spatial data remains limited due to difficulties in implementation and computational burden. These problems are ... -
Identifying extreme COVID-19 mortality risks in English small areas: a disease cluster approach
Adin Urtasun, Aritz ; Congdon, P.; Santafé Rodrigo, Guzmán ; Ugarte Martínez, María Dolores (Springer, 2022)
Artículo / Artikulua
The COVID-19 pandemic is having a huge impact worldwide and has highlighted the extent of health inequalities between countries but also in small areas within a country. Identifying areas with high mortality is important ... -
In spatio-temporal disease mapping models, identifiability constraints affect PQL and INLA results
Goicoa Mangado, Tomás; Adin Urtasun, Aritz ; Ugarte Martínez, María Dolores ; Hodges, James S. (Springer, 2018)
Artículo / Artikulua
Disease mapping studies the distribution of relative risks or rates in space and time, and typically relies on generalized linear mixed models (GLMMs) including fixed effects and spatial, temporal, and spatio-temporal ... -
Online relative risks/rates estimation in spatial and spatio-temporal disease mapping
Adin Urtasun, Aritz ; Goicoa Mangado, Tomás ; Ugarte Martínez, María Dolores (Elsevier, 2019)
Artículo / Artikulua
Background and objective: Spatial and spatio-temporal analyses of count data are crucial in epidemiology and other fields to unveil spatial and spatio-temporal patterns of incidence and/or mortality risks. However, fitting ... -
Scalable Bayesian modeling for smoothing disease mapping risks in large spatial data sets using INLA
Orozco Acosta, Erick ; Adin Urtasun, Aritz ; Ugarte Martínez, María Dolores (Elsevier, 2021)
Artículo / Artikulua
Several methods have been proposed in the spatial statistics literature to analyse big data sets in continuous domains. However, new methods for analysing high-dimensional areal data are still scarce. Here, we propose a ... -
Space-time analysis of ovarian cancer mortality rates by age groups in Spanish provinces (1989-2015)
Trandafir, Paula Camelia ; Adin Urtasun, Aritz ; Ugarte Martínez, María Dolores (BioMed Central, 2020)
Artículo / Artikulua
Background: Ovarian cancer is a silent and largely asymptomatic cancer, leading to late diagnosis and worse prognosis. The late-stage detection and low survival rates, makes the study of the space-time evolution of ovarian ... -
Temporal evolution of brain cancer incidence in the municipalities of Navarre and the Basque Country, Spain
Ugarte Martínez, María Dolores ; Adin Urtasun, Aritz ; Goicoa Mangado, Tomás ; Casado, Itziar; Ardanaz, Eva; Larrañaga, Nerea (BioMed Central, 2015)
Artículo / Artikulua
Background: Brain cancer incidence rates in Spain are below the European’s average. However, there are two regions in the north of the country, Navarre and the Basque Country, ranked among the European regions with ... -
Two-level resolution of relative risk of dengue disease in a hyperendemic city of Colombia
Adin Urtasun, Aritz ; Martínez Bello, Daniel Adyro; López Quílez, Antonio; Ugarte Martínez, María Dolores (Public Library of Science, 2018)
Artículo / Artikulua
Risk maps of dengue disease offer to the public health officers a tool to model disease risk in space and time. We analyzed the geographical distribution of relative incidence risk of dengue disease in a high incidence ...
