Bayesian disease mapping: Past, present, and future

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

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

Bayesian spatio-temporal joint disease mapping of Covid-19 cases and deaths in local authorities of England

(2021) Sujit K. Sahu et al.   Spatial Statistics

Quantifying the small-area spatio-temporal dynamics of the Covid-19 pandemic in Scotland during a period with limited testing capacity

(2021) Duncan Lee et al.   Spatial Statistics

On Deconfounding Spatial Confounding in Linear Models

(2021) Dale L. Zimmerman et al.   AMERICAN STATISTICIAN

Spatial-temporal generalized additive model for modeling COVID-19 mortality risk in Toronto, Canada

(2021) Cindy Feng   Spatial Statistics

Multivariate Bayesian spatio-temporal P-spline models to analyze crimes against women

(2021) Gonzalo Vicente et al.   BIOSTATISTICS

Estimation of COVID-19 mortality in the United States using Spatio-temporal Conway Maxwell Poisson model

(2021) Xiaomeng Li et al.   Spatial Statistics

Capturing spatial dependence of COVID-19 case counts with cellphone mobility data

(2021) Justin J. Slater et al.   Spatial Statistics

On the use of adaptive spatial weight matrices from disease mapping multivariate analyses

(2020) Francisca Corpas-Burgos et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Bayesian inference in multivariate spatio-temporal areal models using INLA: analysis of gender-based violence in small areas

(2020) G. Vicente et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Bayesian estimation of multivariate Gaussian Markov random fields with constraint

(2020) Ying C. MacNab   STATISTICS IN MEDICINE

Use of model reparametrization to improve variational Bayes †

(2020) Linda S. L. Tan   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Population-weighted exposure to air pollution and COVID-19 incidence in Germany

(2020) Guowen Huang et al.   Spatial Statistics

Sampling Strategies for Fast Updating of Gaussian Markov Random Fields

(2019) D. Andrew Brown et al.   AMERICAN STATISTICIAN

Estimating the changing nature of Scotland's health inequalities by using a multivariate spatiotemporal model

(2019) Eilidh Jack et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES A-STATISTICS IN SOCIETY

Bayesian analysis of areal data with unknown adjacencies using the stochastic edge mixed effects model

(2019) Heli Gao et al.   Spatial Statistics

Bayesian modelling for spatially misaligned health and air pollution data through the INLA-SPDE approach

(2019) Michela Cameletti et al.   Spatial Statistics

Some links between conditional and coregionalized multivariate Gaussian Markov random fields

(2019) Miguel A. Martinez-Beneito   Spatial Statistics

Gibbs sampling on large lattice with GMRF

(2018) Denis Marcotte et al.   COMPUTERS & GEOSCIENCES

OUP accepted manuscript

(2018)   SOCIAL HISTORY OF MEDICINE

Some recent work on multivariate Gaussian Markov random fields

(2018) Ying C. MacNab   TEST

Variational Inference: A Review for Statisticians

(2017) David M. Blei et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Bayesian Computing with INLA: A Review

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

One-dimensional, two-dimensional, and three dimensional B-splines to specify space –time interactions in Bayesian disease mapping: Model fitting and model identifiability

(2017) M.D. Ugarte et al.   Spatial Statistics

A geostatistical model for combined analysis of point-level and area-level data using INLA and SPDE

(2017) Paula Moraga et al.   Spatial Statistics

Quantifying the spatial inequality and temporal trends in maternal smoking rates in Glasgow

(2016) Duncan Lee et al.   Annals of Applied Statistics

A Gaussian random field model for similarity-based smoothing in Bayesian disease mapping

(2016) Helena Baptista et al.   STATISTICAL METHODS IN MEDICAL RESEARCH

Linear models of coregionalization for multivariate lattice data: Order-dependent and order-free cMCARs

(2016) Ying C MacNab   STATISTICAL METHODS IN MEDICAL RESEARCH

Age-space-time CAR models in Bayesian disease mapping

(2016) T. Goicoa et al.   STATISTICS IN MEDICINE

Linear models of coregionalization for multivariate lattice data: a general framework for coregionalized multivariate CAR models

(2016) Ying C. MacNab   STATISTICS IN MEDICINE

Controlling for unmeasured confounding and spatial misalignment in long-term air pollution and health studies

(2015) Duncan Lee et al.   ENVIRONMETRICS

copCAR: A Flexible Regression Model for Areal Data

(2015) John Hughes   JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS

Transformed Gaussian Markov random fields and spatial modeling of species abundance

(2015) Marcos O. Prates et al.   Spatial Statistics

CARBayes: AnRPackage for Bayesian Spatial Modeling with Conditional Autoregressive Priors

(2015) Duncan Lee   Journal of Statistical Software

A Bayesian localized conditional autoregressive model for estimating the health effects of air pollution

(2014) Duncan Lee et al.   BIOMETRICS

A general modelling framework for multivariate disease mapping

(2013) M. A. Martinez-Beneito   BIOMETRIKA

Dimension reduction and alleviation of confounding for spatial generalized linear mixed models

(2012) John Hughes et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

On identification in Bayesian disease mapping and ecological–spatial regression models

(2012) Ying C MacNab   STATISTICAL METHODS IN MEDICAL RESEARCH

Skew-elliptical spatial random effect modeling for areal data with application to mapping health utilization rates

(2012) Farouk S. Nathoo et al.   STATISTICS IN MEDICINE

A spatial analysis of multivariate output from regional climate models

(2011) Stephan R. Sain et al.   Annals of Applied Statistics

Boundary detection in disease mapping studies

(2011) D. Lee et al.   BIOSTATISTICS

An explicit link between Gaussian fields and Gaussian Markov random fields: the stochastic partial differential equation approach

(2011) Finn Lindgren et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

Riemann manifold Langevin and Hamiltonian Monte Carlo methods

(2011) Mark Girolami et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

P-spline ANOVA-type interaction models for spatio-temporal smoothing

(2011) Dae-Jin Lee et al.   STATISTICAL MODELLING

On Gaussian Markov random fields and Bayesian disease mapping

(2010) Ying C MacNab   STATISTICAL METHODS IN MEDICAL RESEARCH

The Importance of Scale for Spatial-Confounding Bias and Precision of Spatial Regression Estimators

(2010) Christopher J. Paciorek   STATISTICAL SCIENCE

On Bayesian shared component disease mapping and ecological regression with errors in covariates

(2010) Ying C. MacNab   STATISTICS IN MEDICINE

Evaluating the performance of spatio-temporal Bayesian models in disease mapping

(2009) M. D. Ugarte et al.   ENVIRONMETRICS

Bayesian multivariate disease mapping and ecological regression with errors in covariates: Bayesian estimation of DALYs and ‘preventable’ DALYs

(2009) Ying C. MacNab   STATISTICS IN MEDICINE

A multivariate CAR model for improving the estimation of relative risks

(2009) Fedele P. Greco et al.   STATISTICS IN MEDICINE

Modeling Longitudinal Spatial Periodontal Data: A Spatially Adaptive Model with Tools for Specifying Priors and Checking Fit

(2008) Brian J. Reich et al.   BIOMETRICS

On empirical Bayes penalized quasi-likelihood inference in GLMMs and in Bayesian disease mapping and ecological modeling

(2008) Ying C. MacNab et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

A spatially adaptive conditional autoregressive prior for area health data

(2008) Peter Congdon   Statistical Methodology

Bayesian latent variable modelling of multivariate spatio-temporal variation in cancer mortality

(2007) Evangelia Tzala et al.   STATISTICAL METHODS IN MEDICAL RESEARCH