| On fitting spatio-temporal disease mapping models using approximate Bayesian inference MD Ugarte, A Adin, T Goicoa, AF Militino Statistical methods in medical research 23 (6), 507-530, 2014 | 128 | 2014 |
| In spatio-temporal disease mapping models, identifiability constraints affect PQL and INLA results T Goicoa, A Adin, MD Ugarte, JS Hodges Stochastic Environmental Research and Risk Assessment 32, 749-770, 2018 | 82 | 2018 |
| One-dimensional, two-dimensional, and three dimensional B-splines to specify space–time interactions in Bayesian disease mapping: model fitting and model identifiability MD Ugarte, A Adin, T Goicoa Spatial Statistics 22, 451-468, 2017 | 39 | 2017 |
| Smoothing and high risk areas detection in space-time disease mapping: a comparison of P-splines, autoregressive, and moving average models A Adin, MA Martínez-Beneito, P Botella-Rocamora, T Goicoa, MD Ugarte Stochastic Environmental Research and Risk Assessment 31, 403-415, 2017 | 30 | 2017 |
| Alleviating confounding in spatio-temporal areal models with an application on crimes against women in India A Adin, T Goicoa, JS Hodges, PM Schnell, MD Ugarte Statistical Modelling 23 (1), 9-30, 2023 | 27 | 2023 |
| A two-stage approach to estimate spatial and spatio-temporal disease risks in the presence of local discontinuities and clusters A Adin, D Lee, T Goicoa, MD Ugarte Statistical methods in medical research 28 (9), 2595-2613, 2019 | 25 | 2019 |
| Two-level spatially structured models in spatio-temporal disease mapping MD Ugarte, A Adin, T Goicoa Statistical Methods in Medical Research 25 (4), 1080-1100, 2016 | 25 | 2016 |
| Scalable Bayesian modelling for smoothing disease risks in large spatial data sets using INLA E Orozco-Acosta, A Adin, MD Ugarte Spatial Statistics 41, 100496, 2021 | 24 | 2021 |
| Two-level resolution of relative risk of dengue disease in a hyperendemic city of Colombia A Adin, DA Martínez-Bello, A López-Quílez, MD Ugarte PloS one 13 (9), e0203382, 2018 | 21 | 2018 |
| Analyzing the evolution of young people's brain cancer mortality in Spanish provinces MD Ugarte, A Adin, T Goicoa, G López-Abente Cancer epidemiology 39 (3), 480-485, 2015 | 19 | 2015 |
| Online relative risks/rates estimation in spatial and spatio-temporal disease mapping A Adin, T Goicoa, MD Ugarte Computer methods and programs in biomedicine 172, 103-116, 2019 | 18 | 2019 |
| A statistical algorithm showing coenzyme Q10 and citrate synthase as biomarkers for mitochondrial respiratory chain enzyme activities D Yubero, A Adin, R Montero, C Jou, C Jiménez-Mallebrera, ... Scientific Reports 6 (1), 15, 2016 | 18 | 2016 |
| Flexible Bayesian P-splines for smoothing age-specific spatio-temporal mortality patterns T Goicoa, A Adin, J Etxeberria, AF Militino, MD Ugarte Statistical methods in medical research 28 (2), 384-403, 2019 | 16 | 2019 |
| Temporal evolution of brain cancer incidence in the municipalities of Navarre and the Basque Country, Spain MD Ugarte, A Adin, T Goicoa, I Casado, E Ardanaz, N Larrañaga BMC public health 15, 1-7, 2015 | 15 | 2015 |
| Big problems in spatio-temporal disease mapping: methods and software E Orozco-Acosta, A Adin, MD Ugarte Computer Methods and Programs in Biomedicine 231, 107403, 2023 | 12 | 2023 |
| Dealing with risk discontinuities to estimate cancer mortality risks when the number of small areas is large G Santafé, A Adin, D Lee, MD Ugarte Statistical Methods in Medical Research 30 (1), 6-21, 2021 | 12 | 2021 |
| Fatal tractor accidents in the agricultural sector in Spain during the past decade C Jarén, A Ibarrola, T Mangado, A Adin, P Arnal, A López-Maestresalas, ... Agronomy 12 (7), 1694, 2022 | 7 | 2022 |
| High-dimensional order-free multivariate spatial disease mapping G Vicente, A Adin, T Goicoa, MD Ugarte Statistics and Computing 33 (5), 104, 2023 | 6 | 2023 |
| Identifying extreme COVID-19 mortality risks in English small areas: a disease cluster approach A Adin, P Congdon, G Santafé, MD Ugarte Stochastic Environmental Research and Risk Assessment 36 (10), 2995-3010, 2022 | 5 | 2022 |
| Automatic cross-validation in structured models: Is it time to leave out leave-one-out? A Adin, E Krainski, A Lenzi, Z Liu, J Martínez-Minaya, H Rue arXiv preprint arXiv:2311.17100, 2023 | 3 | 2023 |
