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CRC Press Using R for Bayesian Spatial Health Modeling - CRC Press

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£138.45 £110.08 £116.27 £122.46 £128.65 £134.84 £141.03 28 July 2026 19 August 2026 10 September 2026 02 October 2026 25 October 2026
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Description

Using R for Bayesian Spatial and Spatio-Temporal Health Modeling is a comprehensive resource for researchers and practitioners applying Bayesian methods to small area health data studies. This Chapman and Hall/CRC publication addresses the growing importance of understanding how location influences health outcomes through disease mapping and spatial analysis. The book provides practical guidance on leveraging R graphics for spatial health data visualisation and explores core Bayesian methodologies essential for analysing complex relationships between context, individual predisposition, and disease patterns. Designed for those working in epidemiology, public health, and geographic information systems, this text combines theoretical foundations with applied R programming techniques to enable rigorous spatial and spatio-temporal health modelling.

Key Features

The Chapman and Hall/CRC R Series book covers Bayesian methods specifically designed for small area health data analysis and disease mapping applications.

Includes comprehensive review of R graphics techniques tailored for visualising and interpreting spatial health data effectively.

Provides foundational overview of Bayesian statistical methods and their application to understanding disease patterns across geographic regions.

Explores spatio-temporal health modelling approaches that account for both spatial variation and temporal changes in disease outcomes.

Addresses the interplay between environmental context and individual predisposition in epidemiological research using Bayesian frameworks.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
28 April 2021
Listed Since
30 October 2020

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