Cover Image

Suicide Mortality in Spain (2010-2022): Temporal Trends, Spatial Patterns, and Risk Factors

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Adin, A., Retegui, G., Villegas, A. Sánchez, Ugarte, M. D.
Format:	Preprint
Published:	2025
Subjects:	Applications Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Multivariate Spatio-temporal Modelling for Completing Cancer Registries and Forecasting Incidence
by: Retegui, Garazi, et al.
Published: (2025)

Multivariate Bayesian models with flexible shared interactions for analyzing spatio-temporal patterns of rare cancers
by: Retegui, Garazi, et al.
Published: (2024)

Prior Smoothing for Multivariate Disease Mapping Models
by: Retegui, Garazi, et al.
Published: (2026)

Semiparametric Modelling of Cancer Mortality Trends in Colombia
by: Buitrago, Lina, et al.
Published: (2024)

On the PM2.5 -- Mortality Association: A Bayesian Model for Spatio-Temporal Confounding
by: Zaccardi, Carlo, et al.
Published: (2024)

Improving Disease Risk Estimation in Small Areas by Accounting for Spatiotemporal Local Discontinuities
by: Santafé, G., et al.
Published: (2025)

Automatic cross-validation in structured models: Is it time to leave out leave-one-out?
by: Adin, A., et al.
Published: (2023)

Assessing Climate-Driven Mortality Risk: A Stochastic Approach with Distributed Lag Non-Linear Models
by: Min, Jiacheng, et al.
Published: (2025)

Temporal Functional Factor Analysis of Brain Connectivity
by: Stanley, Kyle, et al.
Published: (2025)

Bayesian Inference for Spatially-Temporally Misaligned Data Using Predictive Stacking
by: Pan, Soumyakanti, et al.
Published: (2025)

Bayesian Mapping of Mortality Clusters
by: Sottosanti, Andrea, et al.
Published: (2024)

Mortality simulations for insured and general populations
by: Nalmpatian, Asmik, et al.
Published: (2025)

Modeling Spatial Heterogeneity in Exposure Buffers and Risk: A Hierarchical Bayesian Approach
by: Comess, Saskia, et al.
Published: (2025)

On the Temporal-spatial Analysis of Estimating Urban Traffic Patterns Via GPS Trace Data of Car-hailing Vehicles
by: Mao, Jiannan, et al.
Published: (2023)

Multi-dimensional Mortality (MDMx): Sex-Age-Specific Model Life Tables, Fitting, Prediction from Summary Mortality Indicators, and Forecasting
by: Clark, Samuel J.
Published: (2026)

A Unified Bayesian Framework for Mortality Model Selection
by: Diana, Alex, et al.
Published: (2024)

A Joint Model of Longitudinal CVD Risk Factors, Medication Use, and Time-to-Terminal Events
by: Aghabazaz, Zeynab, et al.
Published: (2025)

A Markov Chain Modeling Approach for Predicting Relative Risks of Spatial Clusters in Public Health
by: Iamrache, Lyza, et al.
Published: (2025)

Bayesian Spatial Point Process Modeling for Cluster Randomized Trials
by: Lee, Jooyeon, et al.
Published: (2025)

A Pseudo-likelihood Approach to Under-5 Mortality Estimation
by: Okonek, Taylor, et al.
Published: (2023)

Orthogonalized Kernel Regression for Spatial and Spatio-Temporal Residual Risk: Application to School Shootings in the Contiguous United States
by: Davies, Tilman M., et al.
Published: (2026)

Spatial Deep Convolutional Neural Networks
by: Wang, Qi, et al.
Published: (2024)

Functional Clustering for Longitudinal Associations between Social Determinants of Health and Stroke Mortality in the US
by: Luo, Fangzhi, et al.
Published: (2024)

Hierarchical Latent Class Models for Mortality Surveillance Using Partially Verified Verbal Autopsies
by: Zhu, Yu, et al.
Published: (2024)

Spatio-temporal modeling for record-breaking temperature events in Spain
by: Castillo-Mateo, Jorge, et al.
Published: (2024)

A Bayesian Joint Modelling for Misclassified Interval-censoring and Competing Risks
by: Yang, Zhenwei, et al.
Published: (2024)

Cumulative differences between subpopulations versus body mass index in the Behavioral Risk Factor Surveillance System data
by: Tygert, Mark
Published: (2024)

Spatially Regularized Gaussian Mixtures for Clustering Spatial Transcriptomic Data
by: Sottosanti, Andrea, et al.
Published: (2025)

Mixed Time Series Quasi-Likelihood Models for Uncovering Covid-19 Viral Load and Mortality Dynamics
by: Wu, Kejin, et al.
Published: (2026)

Modeling Extremal Streamflow using Deep Learning Approximations and a Flexible Spatial Process
by: Majumder, Reetam, et al.
Published: (2022)

Spatially Selected and Dependent Random Effects for Small Area Estimation with Application to Rent Burden
by: Kawano, Sho, et al.
Published: (2024)

Tracking Temporal Evolution of Topological Features in Image Data
by: Glenn, Susan, et al.
Published: (2025)

Spherically Embedded Time Series with Unknown Trend and Periodic Components
by: Xu, Jiazhen, et al.
Published: (2026)

Spatial Extremes at Scale: A Case Study of Surface Skin Temperature and Heat Risk in the United States
by: Lee, Ben Seiyon, et al.
Published: (2026)

On Robust Measures of Spatial Correlation
by: Nardelli, Vincenzo, et al.
Published: (2024)

Nonparametric Monitoring of Spatial Dependence
by: Adämmer, Philipp, et al.
Published: (2024)

Diagnostic tools for a multivariate negative binomial model for fitting correlated data with overdispersion
by: Fabio, Lizandra Castilho, et al.
Published: (2021)

Generalized Multilevel Functional Principal Component Analysis with Application to NHANES Active Inactive Patterns
by: Zhou, Xinkai, et al.
Published: (2023)

RESAPLE: An Approximate One-Step Restricted Likelihood Estimator of Spatial Dependence for Exploratory Spatial Analysis
by: Khan, Aditya, et al.
Published: (2026)

Exploring Covid-19 Spatiotemporal Dynamics: Non-Euclidean Spatially Aware Functional Registration
by: Barratt, Luke A., et al.
Published: (2024)