Spatio–temporal modeling for disease mapping using CAR and B‐spline smoothing
From MaRDI portal
Publication:6069067
DOI10.1002/env.2199zbMath1525.62225OpenAlexW1919838631MaRDI QIDQ6069067
Publication date: 15 December 2023
Published in: Environmetrics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/env.2199
splinerandom effectsBayesian computationhierarchical modelsgeographic epidemiologyconditional autoregressive (CAR)
Cites Work
- Longitudinal data analysis using generalized linear models
- Hierarchical Bayes estimation of spatial statistics for rates
- A standard error for the estimated state vector of a state-space model
- Bayesian image restoration, with two applications in spatial statistics (with discussion)
- Flexible smoothing with \(B\)-splines and penalties. With comments and a rejoinder by the authors
- Likelihood inference in generalized linear mixed models with two components of dispersion using data cloning
- Likelihood inference in generalized linear mixed measurement error models
- Autoregressive Spatial Smoothing and Temporal Spline Smoothing for Mapping Rates
- Spatio-temporal modelling of disease mapping of rates
- Spatial Modeling of Regional Variables
- Estimating Equations for Parameters in Means and Covariances of Multivariate Discrete and Continuous Responses
- Why Isn't Everyone a Bayesian?
- A regression model for time series of counts
- Hierarchical Spatio-Temporal Mapping of Disease Rates
- Approximate Inference in Generalized Linear Mixed Models
- Spatio-temporal modelling using B-spline for disease mapping: analysis of childhood cancer trends
- Spatial modeling using frequentist approach for disease mapping
- Estimability and Likelihood Inference for Generalized Linear Mixed Models Using Data Cloning
- A practical guide to splines.
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
This page was built for publication: Spatio–temporal modeling for disease mapping using CAR and B‐spline smoothing
