eBook - ePub

Bayesian Disease Mapping

Name: Bayesian Disease Mapping
ISBN: 9781351271745

Hierarchical Modeling in Spatial Epidemiology, Third Edition

Andrew B. Lawson,

464 pages
English
ePUB (mobile friendly)
Available on iOS & Android

eBook - ePub

Bayesian Disease Mapping

Hierarchical Modeling in Spatial Epidemiology, Third Edition

Andrew B. Lawson,

About this book

Since the publication of the second edition, many new Bayesian tools and methods have been developed for space-time data analysis, the predictive modeling of health outcomes, and other spatial biostatistical areas. Exploring these new developments, Bayesian Disease Mapping: Hierarchical Modeling in Spatial Epidemiology, Third Edition provides an up-to-date, cohesive account of the full range of Bayesian disease mapping methods and applications.

In addition to the new material, the book also covers more conventional areas such as relative risk estimation, clustering, spatial survival analysis, and longitudinal analysis. After an introduction to Bayesian inference, computation, and model assessment, the text focuses on important themes, including disease map reconstruction, cluster detection, regression and ecological analysis, putative hazard modeling, analysis of multiple scales and multiple diseases, spatial survival and longitudinal studies, spatiotemporal methods, and map surveillance. It shows how Bayesian disease mapping can yield significant insights into georeferenced health data.

The target audience for this text is public health specialists, epidemiologists, and biostatisticians who need to work with geo-referenced health data.

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Yes, you can access Bayesian Disease Mapping by Andrew B. Lawson in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over one million books available in our catalogue for you to explore.