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M. Marco

Publications and source records attributed to M. Marco.

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Overcoming Standardization: Revealing Hidden Age Patterns of Suicide with Spatiotemporal Models

Indirect standardization is widely used in disease mapping to control for confounding, but relies on restrictive assumptions that may bias estimates if violated. Using data on suicide-related emergency calls, this study highlights such limitations and proposes age-structured hierarchical Bayesian models as an alternative. These models incorporate space-time, space-age, and time-age interactions, allowing for more accurate estimation without strong assumptions. The results show improved model fit, especially when including age effects. The best model reveals a rising temporal trend (2017--2022), a nonlinear age pattern, and stronger risk increases among younger individuals compared to older ones.

stat.ME

Spatial Risk Patterns-ANOVA: Multivariate Analysis Of Suicide-Related Emergency Calls

Multivariate spatial disease mapping has become a pivotal part of everyday practice in social epidemiology. Despite the existence of several specifications for the relation between different outcomes, there is still a need for a new strategy that focuses on comparing the spatial risk patterns of different subgroups of the population. This paper introduces a new approach for detecting differences in spatial risk patterns between different populations at risk, using suicide-related emergency calls to study suicide risks in the Valencian Community (Spain).

stat.AP

Topology and combinatorics of real line arrangements

We prove the existence of complexified real arrangements with the same combinatorics but different embeddings in the complex projective plane. Such pair of arrangements has an additional property: they admit conjugated equations on the ring of polynomials over the number field ${\mathbb Q}(\sqrt{5})$.

math.AG