ABSTRACT

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

part |2 pages

I Background

chapter 1|16 pages

Introduction

chapter 2|16 pages

Bayesian Inference and Modeling

chapter 3|18 pages

Computational Issues

chapter 4|16 pages

Residuals and Goodness-of-Fit

part |2 pages

II Themes

chapter 6|28 pages

Disease Cluster Detection

chapter 7|30 pages

Regression and Ecological Analysis

chapter 8|18 pages

Putative Hazard Modeling

chapter 9|16 pages

Multiple Scale Analysis

chapter 10|24 pages

Multivariate Disease Analysis

chapter 11|24 pages

Spatial Survival and Longitudinal Analysis

chapter 12|30 pages

Spatio-temporal Disease Mapping

chapter 13|16 pages

Disease Map Surveillance