Using R for Bayesian Spatial and Spatio-Temporal Health Modeling

Language: English

Published by Chapman And Hall/CRC Mai 2023, 2023

0367760673 / 9780367760670

Series: Book 61 of 73 - Chapman & Hall/CRC The R

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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.

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This item is printed on demand - it takes 3-4 days longer - Neuware -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 dataOverview of Bayesian methods and Bayesian hierarchical modeling as applied to spatial dataBayesian Computation and goodness-of-fitReview of basic Bayesian disease mapping modelsSpatio-temporal modeling with MCMC and INLASpecial topics include multivariate models, survival analysis, missing data, measurement error, variable selection, individual event modeling, and infectious disease modelingSoftware for fitting models based on BRugs, Nimble, CARBayes and INLAProvides code relevant to fitting all examples throughout the book at a supplementary websiteThe 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. 300 pp. Englisch.

Seller Inventory # 9780367760670

Title
Using R for Bayesian Spatial and Spatio-Temporal Health Modeling
Author
Andrew B. Lawson
Publisher
Chapman And Hall/CRC Mai 2023
Publication year
2023
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
0367760673
ISBN 13
9780367760670
Item weight
459 grams
Dimensions
234x156x16 mm
Series
Book 61 of 73: Chapman & Hall/CRC The R

BuchWeltWeit Ludwig Meier e.K.

Bergisch Gladbach, Germany

5-star seller

AbeBooks seller since January 11, 2012

Shipping rates from Germany to U.S.A.

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BuchWeltWeit Ludwig Meier e.K.

Germany