Lawson, Andrew
Using R for Bayesian spatial and spatio-temporal health modeling / Andrew B. Lawson. - 1st. - 1 online resource : illustrations (black and white). - Chapman & Hall/CRC the R series .
"The book fills a void in the literature and available software, providing a crucial link for students and professionals alike to engage in the analysis of spatial and spatio-temporal health data from a Bayesian perspective using R. The book emphasizes the use of MCMC via Nimble, BRugs, and CARBAyes, but also includes INLA for comparative purposes. In addition, a wide range of packages useful in the analysis of geo-referenced spatial data are employed and code is provided. It will likely become a key reference for researchers and students from biostatistics, epidemiology, public health, and environmental science"--
9781000376722 (ePub ebook) 1000376729 (ePub ebook) 9781000376708 (PDF ebook) 1000376702 (PDF ebook) 9781003043997 (ebook) 1003043992 (ebook)
10.1201/9781003043997 doi
Medical statistics--Data processing.
Medical mapping--Data processing.
Medical statistics--Computer programs.
Geospatial data--Computer processing.
Geographic information systems.
Information modeling--Simulation methods.
R (Computer program language)
Bayesian statistical decision theory.
MATHEMATICS / Probability & Statistics / General
MEDICAL / Epidemiology
RA409.5
610.21
Using R for Bayesian spatial and spatio-temporal health modeling / Andrew B. Lawson. - 1st. - 1 online resource : illustrations (black and white). - Chapman & Hall/CRC the R series .
1. Introduction and Data Sets
2. R Graphics and Spatial Health Data
3. Bayesian Hierarchical Models
4. Computation
5. Bayesian model Goodness of Fit Criteria
6. Bayesian Disease Mapping Models
Part I Basic Software Approaches
7. BRugs/OpenBUGS
8. Nimble
9. CARBayes
10. INLA and R-INLA
11. Clustering, Latent Variable and Mixture Modeling
12. Spatio-Temporal Modeling with MCMC
13. Spatio-Temporal Modeling with INLA
Part II Some Advanced and Special topics
14. Multivariate Models
15. Survival Modeling
16. Missingness, Measurement Error and Variable Selection
17. Individual Event Modeling
18. Infectious Disease Modeling
"The book fills a void in the literature and available software, providing a crucial link for students and professionals alike to engage in the analysis of spatial and spatio-temporal health data from a Bayesian perspective using R. The book emphasizes the use of MCMC via Nimble, BRugs, and CARBAyes, but also includes INLA for comparative purposes. In addition, a wide range of packages useful in the analysis of geo-referenced spatial data are employed and code is provided. It will likely become a key reference for researchers and students from biostatistics, epidemiology, public health, and environmental science"--
9781000376722 (ePub ebook) 1000376729 (ePub ebook) 9781000376708 (PDF ebook) 1000376702 (PDF ebook) 9781003043997 (ebook) 1003043992 (ebook)
10.1201/9781003043997 doi
Medical statistics--Data processing.
Medical mapping--Data processing.
Medical statistics--Computer programs.
Geospatial data--Computer processing.
Geographic information systems.
Information modeling--Simulation methods.
R (Computer program language)
Bayesian statistical decision theory.
MATHEMATICS / Probability & Statistics / General
MEDICAL / Epidemiology
RA409.5
610.21