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Bayesian inference in multivariate spatio-temporal areal models using INLA: analysis of gender-based violence in small areas
(Springer, 2020)
info:eu-repo/semantics/article,
Multivariate models for spatial count data are currently receiving attention in disease mapping to model two or more diseases jointly. They have been thoroughly studied from a theoretical point of view, but their use in ...
Small area estimation of gender-based violence: rape incidence risks in Uttar Pradesh, India
(Society of Statistics, Computer and Applications, 2018)
info:eu-repo/semantics/article,
Violence against women is considered an endemic problem in communities and countries
around the world, and it has been declared an issue of epidemic proportions by the World Health
Organization (WHO). In India, where the ...
Small area variations in non-affective first-episode psychosis: the role of socioeconomic and environmental factors
(Springer, 2023)
Artículo / Artikulua,
Background: There is strong evidence supporting the association between environmental factors and increased risk of non-affective psychotic disorders. However, the use of sound statistical methods to account for spatial ...
Alleviating confounding in spatio-temporal areal models with an application on crimes against women in India
(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 ...
Space-time interactions in bayesian disease mapping with recent tools: making things easier for practitioners
(Edward Arnold, 2022)
Artículo / Artikulua,
Spatio-temporal disease mapping studies the distribution of mortality or incidence risks in space and its evolution in time, and it usually relies on fitting hierarchical Poisson mixed models. These models are complex for ...
Evaluating recent methods to overcome spatial confounding
(Springer, 2022)
Artículo / Artikulua,
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 in spatial regression models is the change ...
Using mortality to predict incidence for rare and lethal cancers in very small areas
(VCH Publishers, 2022)
Artículo / Artikulua,
Incidence and mortality figures are needed to get a comprehensive overview of cancer burden. In many countries, cancer mortality figures are routinely recorded by statistical offices, whereas incidence depends on regional ...