Using R for Bayesian Spatial and Spatio-Temporal Health Modeling
-
- Hardcover
- Taschenbuch ausgewählt
- eBook
-
Sprache:Englisch
63,99 €
inkl. gesetzl. MwSt.,
Beschreibung
Produktdetails
Einband
Taschenbuch
Erscheinungsdatum
29.05.2023
Abbildungen
106 SW-Abb., 2 SW-Fotos, 104 SW-Zeichn., 13 Tabellen
Verlag
Taylor & FrancisSeitenzahl
300
Maße (L/B/H)
23,4/15,6/1,6 cm
Gewicht
459 g
Sprache
Englisch
ISBN
978-0-367-76067-0
Progressively more and more attention has been paid to how location affects health outcomes. The area of disease mapping focusses on these problems, and the Bayesian paradigm has a major role to play in the understanding of the complex interplay of context and individual predisposition in such studies of disease. Using R for Bayesian Spatial and Spatio-Temporal Health Modeling provides a major resource for those interested in applying Bayesian methodology in small area health data studies.
Features:
- Review of R graphics relevant to spatial health data
- Overview of Bayesian methods and Bayesian hierarchical modeling as applied to spatial data
- Bayesian Computation and goodness-of-fit
- Review of basic Bayesian disease mapping models
- Spatio-temporal modeling with MCMC and INLA
- Special topics include multivariate models, survival analysis, missing data, measurement error, variable selection, individual event modeling, and infectious disease modeling
- Software for fitting models based on BRugs, Nimble, CARBayes and INLA
- Provides code relevant to fitting all examples throughout the book at a supplementary website
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.
Noch keine Bewertungen vorhanden
Verfassen Sie die erste Bewertung zu diesem Artikel
Helfen Sie anderen Kundinnen und Kunden durch Ihre Meinung.
Kurze Frage zu unserer Seite
Vielen Dank für Ihr Feedback
Wir nutzen Ihr Feedback, um unsere Produktseiten zu verbessern. Bitte haben Sie Verständnis, dass wir Ihnen keine Rückmeldung geben können. Falls Sie Kontakt mit uns aufnehmen möchten, können Sie sich aber gerne an unseren Kund*innenservice wenden.
zum Kundenservice