Spatial and temporal modeling of breast cancer mortality in Kansas: An R-INLA approach. [PDF]
PLoS ONEIntroductionBased on Breast Cancer Statistics, 2025, breast cancer is a leading cause of death among women in the United States. Geographic disparities and associated risk factors influence breast cancer mortality over time and across spatial areas ...
Stephanie Colwell +4 more
doaj +3 more sources
Spatio-temporal pattern and risk factors of HIV/AIDS prevalence in Zhejiang, China, from 2005 to 2022 using R-INLA [PDF]
One HealthBackground: The number of reported HIV/AIDS cases in the Zhejiang province, China, has increased drastically. However, spatial disparity and temporal trends in HIV/AIDS risk at the fine level remain unclear.
Yifan Tang +8 more
doaj +4 more sources
Estimating Animal Abundance with N-Mixture Models Using the R-INLA Package for R [PDF]
Journal of Statistical Software, 2020 Successful management of wildlife populations requires accurate estimates of abundance. Abundance estimates can be confounded by imperfect detection during wildlife surveys.
Timothy D. Meehan +2 more
doaj +3 more sources
Computationally efficient Bayesian inference for semi-parametric joint models of competing risks survival and skewed longitudinal data using integrated nested Laplace approximation [PDF]
BMC Medical Research MethodologyBackground Joint modeling is widely used in medical research to properly analyze longitudinal biomarkers and survival outcomes simultaneously and to guide appropriate interventions in public health.
Melkamu Molla Ferede +2 more
doaj +2 more sources
Generating geochemical and mineralogy distributions of soil in the conterminous United States using Bayesian hierarchical spatial models [PDF]
MethodsXCharacterizing geochemical and mineralogical soil distributions across large spatial extents is essential for understanding mineral resources, ecosystem processes, and environmental risks.
Kristin J. Bondo +2 more
doaj +2 more sources
Revista Latinoamericana de Población, 2020 El trabajo busca modelar la distribución de la tasa de incidencia acumulada de COVID-19 en los municipios de México a través del ajuste de tres modelos lineales generalizados (en competencia) con efectos espaciales y temporales y función de enlace ...
Gerardo Núñez Medina
doaj +12 more sources
Estimating Spatial Econometrics Models with Integrated Nested Laplace Approximation
Mathematics, 2021 The integrated nested Laplace approximation (INLA) provides a fast and effective method for marginal inference in Bayesian hierarchical models. This methodology has been implemented in the R-INLA package which permits INLA to be used from within R ...
Virgilio Gómez-Rubio +2 more
doaj +1 more source
New Frontiers in Bayesian Modeling Using the INLA Package in R
Journal of Statistical Software, 2021 The INLA package provides a tool for computationally efficient Bayesian modeling and inference for various widely used models, more formally the class of latent Gaussian models.
Janet Van Niekerk +3 more
doaj +1 more source
Laplace approximation for conditional autoregressive models for spatial data of diseases
MethodsX, 2022 Conditional autoregressive (CAR) distributions are used to account for spatial autocorrelation in small areal or lattice data to assess the spatial risks of diseases.
Guiming Wang
doaj +1 more source
Bayesian Multivariate Spatial Models for Lattice Data with INLA
Journal of Statistical Software, 2021 The INLAMSM package for the R programming language provides a collection of multivariate spatial models for lattice data that can be used with the INLA package for Bayesian inference.
Francisco Palmí-Perales +2 more
doaj +1 more source