0
Your cart

Your cart is empty

Books

Buy Now

Using R for Bayesian Spatial and Spatio-Temporal Health Modeling Loot Price: R1,384
Discovery Miles 13 840
Using R for Bayesian Spatial and Spatio-Temporal Health Modeling: Andrew B. Lawson

Using R for Bayesian Spatial and Spatio-Temporal Health Modeling

Andrew B. Lawson

Series: Chapman & Hall/CRC The R Series

 (sign in to rate)
Loot Price R1,384 Discovery Miles 13 840 | Repayment Terms: R130 pm x 12*

Bookmark and Share

Expected to ship within 12 - 17 working days

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.

General

Imprint: Crc Press
Country of origin: United Kingdom
Series: Chapman & Hall/CRC The R Series
Release date: May 2023
Authors: Andrew B. Lawson
Dimensions: 234 x 156mm (L x W)
Pages: 284
ISBN-13: 978-0-367-76067-0
Categories: Books
LSN: 0-367-76067-3
Barcode: 9780367760670

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!

You might also like..

Blood Brothers - To Battleground…
Deon Lamprecht Paperback  (1)
R290 R195 Discovery Miles 1 950
How Did We Get Here? - A Girl's Guide to…
Mpoomy Ledwaba Paperback  (1)
R290 R195 Discovery Miles 1 950
Atmosfire
Jan Braai Hardcover R590 R425 Discovery Miles 4 250
Air Fryer - Herman's Top 100 Recipes
Herman Lensing Paperback R350 R235 Discovery Miles 2 350
Twice The Glory - The Making Of The…
Lloyd Burnard, Khanyiso Tshwaku Paperback R325 R219 Discovery Miles 2 190
Broken To Heal - Deceit, Destruction…
Alistair Izobell Paperback R200 Discovery Miles 2 000
Have I Got GNUs For You
Zapiro Paperback R220 R160 Discovery Miles 1 600
We Were Perfect Parents Until We Had…
Vanessa Raphaely, Karin Schimke Paperback R330 R220 Discovery Miles 2 200
Witness To Power - A Political Memoir
Mathews Phosa Paperback R300 R215 Discovery Miles 2 150
Braai
Reuben Riffel Paperback R495 R359 Discovery Miles 3 590
Tietie & Nanna se Huiskos
Najma Abrahams, Azba Fanie Paperback R375 R275 Discovery Miles 2 750
I Will Not Be Silenced
Karyn Maughan Paperback R350 R260 Discovery Miles 2 600

See more

Partners