Bayesian Disease Mapping

Hierarchical Modeling in Spatial Epidemiology, Third Edition

Nonfiction, Science & Nature, Mathematics, Statistics
Cover of the book Bayesian Disease Mapping by Andrew B. Lawson, CRC Press
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Andrew B. Lawson ISBN: 9781351271745
Publisher: CRC Press Publication: May 20, 2018
Imprint: Chapman and Hall/CRC Language: English
Author: Andrew B. Lawson
ISBN: 9781351271745
Publisher: CRC Press
Publication: May 20, 2018
Imprint: Chapman and Hall/CRC
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from CRC Press

Cover of the book Genetic Resources, Chromosome Engineering, and Crop Improvement by Andrew B. Lawson
Cover of the book Facilities Management and the Business of Managing Assets by Andrew B. Lawson
Cover of the book Signals and Systems Primer with MATLAB by Andrew B. Lawson
Cover of the book Blender for Visual Effects by Andrew B. Lawson
Cover of the book Ghosts in the Machine by Andrew B. Lawson
Cover of the book Understanding Housing Finance by Andrew B. Lawson
Cover of the book Systems Architecting of Organizations by Andrew B. Lawson
Cover of the book Claims, Disputes and Litigation Involving BIM by Andrew B. Lawson
Cover of the book Metalloproteins by Andrew B. Lawson
Cover of the book Volatile Compounds in Foods and Beverages by Andrew B. Lawson
Cover of the book Official (ISC)2® Guide to the ISSAP® CBK by Andrew B. Lawson
Cover of the book Scientific Computing with MATLAB by Andrew B. Lawson
Cover of the book An Introduction to Graphene and Carbon Nanotubes by Andrew B. Lawson
Cover of the book The Green Bookshop by Andrew B. Lawson
Cover of the book Introduction to Middleware by Andrew B. Lawson
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy