4 papers
Prior Smoothing for Multivariate Disease Mapping Models
Garazi Retegui, MarÃa Dolores Ugarte, Jaione Etxeberria +1
To date, we have seen the emergence of a large literature on multivariate disease mapping. That is, incidence of (or mortality from) multiple diseases is recorded at the scale of a…
Suicide Mortality in Spain (2010-2022): Temporal Trends, Spatial Patterns, and Risk Factors
A. Adin, G. Retegui, A. Sánchez Villegas +1
Background: Suicide remains a major public health concern worldwide, responsible for more than 700,000 deaths in 2021, accounting for approximately 1.1\% of all global deaths. Whil…
Multivariate Spatio-temporal Modelling for Completing Cancer Registries and Forecasting Incidence
Garazi Retegui, Jaione Etxeberria, MarÃa Dolores Ugarte
Cancer data, particularly cancer incidence and mortality, are fundamental to understand the cancer burden, to set targets for cancer control and to evaluate the evolution of the im…
On prior smoothing with discrete spatial data in the context of disease mapping
Garazi Retegui, Alan E. Gelfand, Jaione Etxeberria +1
Disease mapping attempts to explain observed health event counts across areal units, typically using Markov random field models. These models rely on spatial priors to account for…