A scalable approach for short‐term disease forecasting in high spatial resolution areal data

Big problems in spatio-temporal disease mapping: methods and software

(2023) Erick Orozco-Acosta et al.   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

Adaptive Gaussian Markov random field spatiotemporal models for infectious disease mapping and forecasting

(2023) Ying C. MacNab   Spatial Statistics

High-dimensional order-free multivariate spatial disease mapping

(2023) Gonzalo Vicente et al.   STATISTICS AND COMPUTING

Using mortality to predict incidence for rare and lethal cancers in very small areas

(2022) Jaione Etxeberria et al.   BIOMETRICAL JOURNAL

Spatial aggregation with respect to a population distribution: Impact on inference

(2022) John Paige et al.   Spatial Statistics

Scalable Bayesian modelling for smoothing disease risks in large spatial data sets using INLA

(2021) Erick Orozco-Acosta et al.   Spatial Statistics

An Autoregressive Disease Mapping Model for Spatio-Temporal Forecasting

(2021) Francisca Corpas-Burgos et al.   Mathematics

Cross-Validation for Correlated Data

(2020) Assaf Rabinowicz et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

A spatial regression model for the disaggregation of areal unit based data to high-resolution grids with application to vaccination coverage mapping

(2018) CE Utazi et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

Penalising Model Component Complexity: A Principled, Practical Approach to Constructing Priors

(2017) Daniel Simpson et al.   STATISTICAL SCIENCE

In spatio-temporal disease mapping models, identifiability constraints affect PQL and INLA results

(2017) T. Goicoa et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Bayesian Computing with INLA: A Review

(2017) Håvard Rue et al.   Annual Review of Statistics and Its Application

Spatial gender-age-period-cohort analysis of pancreatic cancer mortality in Spain (1990–2013)

(2017) Jaione Etxeberria et al.   PLoS One

Two-level spatially structured models in spatio-temporal disease mapping

(2016) María Dolores Ugarte et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

An intuitive Bayesian spatial model for disease mapping that accounts for scaling

(2016) Andrea Riebler et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

Stomach cancer incidence in Southern Portugal 1998-2006: A spatio-temporal analysis

(2014) Ana L. Papoila et al.   BIOMETRICAL JOURNAL

Evaluating space-time models for short-term cancer mortality risk predictions in small areas

(2013) Jaione Etxeberria et al.   BIOMETRICAL JOURNAL

Scaling intrinsic Gaussian Markov random field priors in spatial modelling

(2013) Sigrunn Holbek Sørbye et al.   Spatial Statistics

Projections of cancer mortality risks using spatio-temporal P-spline models

(2012) MD Ugarte et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

Spatio-temporal disease mapping using INLA

(2010) Birgit Schrödle et al.   ENVIRONMETRICS

Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations

(2009) Håvard Rue et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

An autoregressive approach to spatio-temporal disease mapping

(2007) M. A. Martínez-Beneito et al.   STATISTICS IN MEDICINE