Bayesian Disease Mapping: Hierarchical Modeling in Spatial Epidemiology, Third Edition (Chapman & Hall/CRC Interdisciplinary Statistics)
This third edition delves into hierarchical modeling for spatial epidemiology, emphasizing Bayesian techniques to map and analyze disease patterns. It equips readers with methods to model spatial dependencies in health data, supporting informed public health decisions through rigorous statistical frameworks.
About This Book
Bayesian Disease Mapping: Hierarchical Modeling in Spatial Epidemiology, Third Edition, offers a comprehensive guide to applying Bayesian methods in spatial health data analysis.
The book focuses on hierarchical modeling approaches to understand disease distribution and risk factors in epidemiological studies.
Published by Chapman & Hall/CRC in the Interdisciplinary Statistics series, it builds on foundational concepts for researchers and practitioners in public health.
Key topics include spatial statistical models and their implementation for mapping disease incidence.
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