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Books > Science & Math > Mathematics > Applied > Probability & Statistics > 1466504811
  1. Bayesian Disease Mapping: Hierarchical Modeling in Spatial Epidemiology, Second Edition (Chapman & Hall/CRC Interdisciplinary Statistics)
    Bayesian Disease Mapping: Hierarchical Modeling in Spatial Epidemiology, Second Edition (Chapman & Hall/CRC Interdisciplinary Statistics)
    Bayesian Disease Mapping: Hierarchical Modeling in Spatial Epidemiology, Second Edition (Chapman & Hall/CRC Interdisciplinary Statistics)
    Bayesian Disease Mapping: Hierarchical Modeling in Spatial Epidemiology, Second Edition (Chapman & Hall/CRC Interdisciplinary Statistics)
    Image(s) provided for illustrative purposes and may differ from the actual product
  2. Bayesian Disease Mapping: Hierarchical Modeling in Spatial Epidemiology, Second Edition (Chapman & Hall/CRC Interdisciplinary Statistics)

    [1466504811]
    Delivery: 10-20 Working Days
    Customer Ratings (1 reviews)
    Price R2220.00

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Additional Information

Since the publication of the first 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, Second Edition provides an up-to-date, cohesive account of the full range of Bayesian disease mapping methods and applications. A biostatistics professor and WHO advisor, the author illustrates the use of Bayesian hierarchical modeling in the geographical analysis of disease through a range of real-world datasets.

New to the Second Edition

  • Three new chapters on regression and ecological analysis, putative hazard modeling, and disease map surveillance
  • Expanded material on case event modeling and spatiotemporal analysis
  • New and updated examples
  • Two new appendices featuring examples of integrated nested Laplace approximation (INLA) and conditional autoregressive (CAR) models

In addition to these new topics, the book 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. WinBUGS and R are used throughout for data manipulation and simulation.

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Specifications

Country
USA
Author
Andrew B. Lawson
Binding
Hardcover
Brand
Brand: Chapman and Hall/CRC
EAN
9781466504813
Edition
2
Feature
Used Book in Good Condition
ISBN
1466504811
IsEligibleForTradeIn
1
Label
Chapman and Hall/CRC
Manufacturer
Chapman and Hall/CRC
MPN
81 black & white illustrations, 20 black
NumberOfItems
1
NumberOfPages
396
PartNumber
81 black & white illustrations, 20 black
PublicationDate
2013-03-18
Publisher
Chapman and Hall/CRC
Studio
Chapman and Hall/CRC
Most Helpful Customer Reviews

This book provides interesting elements about quantitative methods in epidemiology for master students or researchers. it is quite easy to read when you have some basic background in statistics. Nethetheless, the quality of the fonts is not the best, and there are some surprising typing errors even in early pages as the one about "list of tables". Plenty of relevant references on papers and useful softwares.
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