A two-stage approach to estimate spatial and spatio-temporal disease risks in the presence of local discontinuities and clusters

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

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

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

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

Representing spatial dependence and spatial discontinuity in ecological epidemiology: a scale mixture approach

(2016) Peter Congdon   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Smoothing and high risk areas detection in space-time disease mapping: a comparison of P-splines, autoregressive, and moving average models

(2016) A. Adin et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Identifying clusters in Bayesian disease mapping

(2014) C. Anderson et al.   BIOSTATISTICS

Time trends in municipal distribution patterns of cancer mortality in Spain

(2014) Gonzalo López-Abente et al.   BMC CANCER

Excursion and contour uncertainty regions for latent Gaussian models

(2014) David Bolin et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

A Bayesian model for cluster detection

(2013) J. Wakefield et al.   BIOSTATISTICS

Spatio-temporal trends in gastric cancer mortality in Spain: 1975–2008

(2013) Nuria Aragonés et al.   Cancer Epidemiology

Locally adaptive spatial smoothing using conditional auto-regressive models

(2013) Duncan Lee et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS

Comparing CAR and P-spline models in spatial disease mapping

(2012) T. Goicoa et al.   ENVIRONMENTAL AND ECOLOGICAL STATISTICS

On the difficulty to delimit disease risk hot spots

(2012) M. Charras-Garrido et al.   International Journal of Applied Earth Observation and Geoinformation

Spatial moving average risk smoothing

(2012) P. Botella-Rocamora et al.   STATISTICS IN MEDICINE

A P-spline ANOVA type model in space-time disease mapping

(2012) M. D. Ugarte et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Classification method for disease risk mapping based on discrete hidden Markov random fields

(2011) M. Charras-Garrido et al.   BIOSTATISTICS

A Space-Time Scan Statistic for Detecting Emerging Outbreaks

(2010) Toshiro Tango et al.   BIOMETRICS

On Gaussian Markov random fields and Bayesian disease mapping

(2010) Ying C MacNab   STATISTICAL METHODS IN MEDICAL RESEARCH

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

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

Spatio-temporal modeling of mortality risks using penalized splines

(2009) M. D. Ugarte 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

Empirical Bayes and Fully Bayes procedures to detect high-risk areas in disease mapping

(2008) M.D. Ugarte et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

Space-time Bayesian small area disease risk models: development and evaluation with a focus on cluster detection

(2008) Md. Monir Hossain et al.   ENVIRONMENTAL AND ECOLOGICAL STATISTICS

A flexibly shaped space-time scan statistic for disease outbreak detection and monitoring

(2008) Kunihiko Takahashi et al.   International Journal of Health Geographics