| Preface and Acknowledgements to Second Edition Preface and Acknowledgements Ⅰ The Nature of Spatial Epidemiology 1 Definitions, Terminology and Data Sets 1.1 Map Hypotheses and Modelling Approaches 1.2 Definitions and Data Examples 1.2.1 Case event data 1.2.2 Count data 1.3 Further Definitions 1.3.1 Control events and processes 1.3.2 Census tract information 1.3.3 Clustering definitions 1.4 Some Data Examples 1.4.1 Case event examples 1.4.2 Count data examples 2 Scales of Measurement and Data Availability 2.1 Small Scale 2.2 Large Scale 2.3 Rate Dependence 2.4 Data Quality and the Ecological Fallacy 2.5 Edge Effects 3 Geographical Representation and Mapping 3.1 Introduction and Definitions 3.2 Maps and Mapping 3.2.1 Statistical maps and mapping 3.2.2 Object process mapping 3.2.3 Geostatistical mapping 3.3 Statistical Accuracy 3.4 Aggregation 3.5 Mapping Issues Related to Aggregated Data 3.6 Conclusions 4 Basic Models 4.1 Sampling Considerations 4.2 Likelihood-Based and Bayesian Approaches 4.3 Point Event Models 4.3.1 Point process models and applications 4.3.2 The basic Poisson process model 4.3.3 Hybrid models and regionalisation 4.3.4 Bayesian models and random effects 4.3.5 MAP estimation, empirical Bayes and full Bayesian analysis 4.3.6 Bivariate/multivariate models 4.3.7 Hidden structure and mixture models 4.3.8 Space-time extensions 4.4 Count Models 4.4.1 Standard models 4.4.2 Approximations 4,4.3 Random-effect extensions 4,4.4 Hidden structure and mixture models 4,4.5 Space-time extensions 5 Exploratory Approaches, Parametric Estimation and Inference 5.1 Exploratory Methods 5.1.1 Cartographic issues 5.1.2 Case event mapping 5.1.3 Count mapping 5.2 Parameter Estimation 5.2.1 Case event likelihood models 5.2.2 Count event likelihood models 5.2.3 Approximations 5.2.4 Bayesian models 5.3 Residual Diagnostics 5.4 Hypothesis Testing 5.5 Edge Effects 5.5.1 Edge effects in case events 5.5.2 Edge effects in counts 5.5.3 Edge weighting schemes and MCMC methods 5.5.4 Discussion 5.5.5 The Tuscany example …… Ⅱ Important Problems in Spatial Epidemiology Appendix A Monte Carlo Testing，Paranetric Bootstrap and Sinulation Envelopes Appendix B Markov Chain Monte Carlo Methods Appendix C Algorithms and Code Appendix D Golssary of Estimators Appendix E Software Bibliography Index |
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