Bayesian Disease Mapping: Hierarchical Modeling in Spatial Epidemiology, Second Edition

✍ Scribed by Andrew B. Lawson (Author)

Publisher: Chapman and Hall/CRC
Year: 2013
Leaves: 392
Edition: 2
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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

✦ Table of Contents

BACKGROUND: Introduction. Bayesian Inference and Modeling. Computational Issues. Residuals and Goodness-of-Fit. THEMES: Disease Map Reconstruction and Relative Risk Estimation. Disease Cluster Detection. Regression and Ecological Analysis. Putative Hazard Modeling. Multiple Scale Analysis. Multivariate Disease Analysis. Spatial Survival and Longitudinal Analyses. Spatiotemporal Disease Mapping. Disease Map Surveillance. Appendices. References. Index.

✦ Subjects

Bioscience;Epidemiology;Mathematics & Statistics;Statistics & Probability;Statistics;Statistical Computing;Statistical Theory & Methods

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