activity
20202025
most citedEvaluating recent methods to overcome spatial confounding

33 citations · 46 across the 4 of their papers we have counts for

collaborators

5 papers

stat.ME2025

A proposal for homoscedastic modelling with conditional auto-regressive distributions

Miguel A. Martinez-Beneito, Aritz Adín, Tomás Goicoa +1

Conditional auto-regressive (CAR) distributions are widely used to induce spatial dependence in the geographic analysis of areal data. These distributions establish multivariate de…

stat.AP2024★ 2 cited

A fast approach for analyzing spatio-temporal patterns in ischemic heart disease mortality across US counties (1999-2021)

A. Urdangarin, T. Goicoa, P. Congdon +1

Ischaemic heart disease (IHD) remains the primary cause of mortality in the US. This study focuses on using spatio-temporal disease mapping models to explore the temporal trends of…

stat.ME2022★ 11 cited

High-dimensional order-free multivariate spatial disease mapping

G. Vicente, A. Adin, T. Goicoa +1

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 c…

stat.ME2022★ 33 cited

Evaluating recent methods to overcome spatial confounding

A. Urdangarin, T. Goicoa, M. D. Ugarte

The concept of spatial confounding is closely connected to spatial regression, although no general definition has been established. A generally accepted idea of spatial confounding…

stat.ME2020

Alleviating confounding in spatio-temporal areal models with an application on crimes against women in India

A. Adin, T. Goicoa, J. S. Hodges +2

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…