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CRC Press Using R for Bayesian Spatial Health Modeling Book

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Description

As researchers look closer at how location affects health outcomes, disease mapping has become a vital field of study. This book by CRC Press serves as a major resource for those looking to apply Bayesian methodology to small area health data studies. It addresses the complex relationship between context and individual predisposition in health research. Designed for practitioners and students, this text provides the tools necessary to navigate spatial and spatio-temporal health modeling using the R programming language. By focusing on practical application, it helps users understand how to manage and interpret data within a Bayesian framework. Whether you are working on disease mapping or studying health trends across different locations, this resource offers the foundational knowledge and technical guidance needed to advance your research in the field.

Key Features

Provides a review of R graphics specifically relevant to spatial health data for better visualization.

Includes an overview of Bayesian methods and Bayesian categories to support statistical modeling.

Serves as a comprehensive resource for applying Bayesian methodology to small area health data studies.

Addresses the study of disease mapping and how location impacts health outcomes.

Explores the relationship between context and individual predisposition in health studies.

Product Specifications

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

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