By Andrew B. Lawson
Since the book of the 1st version, many new Bayesian instruments and techniques were built for space-time info research, the predictive modeling of health and wellbeing results, and different spatial biostatistical components. Exploring those new advancements, Bayesian sickness Mapping: Hierarchical Modeling in Spatial Epidemiology, moment Edition offers an updated, cohesive account of the entire diversity of Bayesian affliction mapping tools and purposes. A biostatistics professor and WHO consultant, the writer illustrates using Bayesian hierarchical modeling within the geographical research of sickness via more than a few real-world datasets.
New to the second one Edition
- Three new chapters on regression and ecological research, putative danger modeling, and illness map surveillance
- Expanded fabric on case occasion modeling and spatiotemporal analysis
- New and up-to-date examples
- Two new appendices that includes examples of built-in nested Laplace approximation (INLA) and conditional autoregressive (CAR) models
In addition to those new subject matters, the publication covers extra traditional components equivalent to relative possibility estimation, clustering, spatial survival research, and longitudinal research. After an creation to Bayesian inference, computation, and version evaluation, the textual content specializes in vital issues, together with sickness map reconstruction, cluster detection, regression and ecological research, putative danger modeling, research of a number of scales and a number of illnesses, spatial survival and longitudinal reports, spatiotemporal equipment, and map surveillance. It exhibits how Bayesian sickness mapping can yield major insights into georeferenced well-being information. WinBUGS and R are used all through for info manipulation and simulation.
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Additional info for 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) by Andrew B. Lawson