TY - BOOK
AU - Lawson,Andrew
TI - Using R for Bayesian spatial and spatio-temporal health modeling
T2 - Chapman & Hall/CRC the R series
SN - 9781000376722 (ePub ebook)
AV - RA409.5
U1 - 610.21 23
PY - 2021///
CY - Boca Raton
PB - Chapman & Hall/CRC
KW - Medical statistics
KW - Data processing
KW - Medical mapping
KW - Computer programs
KW - Geospatial data
KW - Computer processing
KW - Geographic information systems
KW - Information modeling
KW - Simulation methods
KW - R (Computer program language)
KW - Bayesian statistical decision theory
KW - MATHEMATICS / Probability & Statistics / General
KW - bisacsh
KW - MEDICAL / Epidemiology
N1 - 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
N2 - "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"--
UR - https://www.taylorfrancis.com/books/9781003043997
UR - http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
ER -