Statistical Methods in Spatial Epidemiology 空间流行病学统计方法 第2版 pdf 免费 地址 txt lrf 下载 kindle umd

　　Spatial epidemiology is the de*ion and ***ysis of the geographical distribution of disease。 It is more important now than ever，with modern threats such as bio-terrorism *** such ***ysis even more complex。 This second edition of Statistical Methods in Spatial Epidemiology is updated and expanded to offer a complete coverage of the ***ysis and application of spatial statistical methods。 The book is divided into two main secti***：Part 1 introduces basic definiti*** and terminology，along with map c***truction and some basic models。 This is expanded upon in Part II by applying this knowledge to the fundamental problems within spatial epidemiology，such as disease mapping，ecological ***ysis，disease clustering，bio-terrorism，space-time ***ysis，surveillance and infectious disease modelling。

Provides a comprehensive overview of the main statistical methods used in spatial epidemiology。

Updated to include a new emphasis on bio-terrorism and disease surveillance。

Emphasizes the importance of space-time modelling and outlines the practical application of the method。

Discusses the wide range of software available for ***yzing spatial data，including WinBUGS，SaTScan and R，and features an accompanying website hosting related software。

Contains numerous data sets，each representing a different approach to the ***ysis，and provides an insight into various modelling techniques。

This text is primarily aimed at medical statisticians，researchers and practitioners from public health and epidemiology。 It is also suitable for postgraduate students of statistics and epidemiology，as well professionals working in government agencies。

Preface and Acknowledgements to Second Edition

Preface and Acknowledgements

Ⅰ The Nature of Spatial Epidemiology

　1　Definiti***, Terminology and Data Sets

　　1.1 Map Hypotheses and Modelling Approaches

　　1.2 Definiti*** and Data Examples

　　　1.2.1 Case event data

1.2.2 Count data

　　1.3 Further Definiti***

1.3.1 Control events and processes

1.3.2 Census tract information

1.3.3 Clustering definiti***

　　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 Definiti***

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 Conclusi***

　4　Basic Models

　　4.1 Sampling C***iderati***

　　4.2 Likelihood-Based and Bayesian Approaches

　　4.3 Point Event Models

　　　4.3.1 Point process models and applicati***

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 ***ysis

4.3.6 Bivariate/multivariate models

4.3.7 Hidden structure and mixture models

4.3.8 Space-time extensi***

　　4.4 Count Models

4.4.1 Standard models

4.4.2 Approximati***

4,4.3 Random-effect extensi***

4,4.4 Hidden structure and mixture models

4,4.5 Space-time extensi***

　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 Approximati***

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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书籍介绍

Spatial epidemiology is the description and ***ysis of the geographical distribution of disease. It is more important now than ever, with modern threats such as bio-terrorism *** such ***ysis even more complex. This second edition of Statistical Methods in Spatial Epidemiology is updated and expanded to offer a complete coverage of the ***ysis and application of spatial statistical methods. The book is divided into two main secti***: Part 1 introduces basic definiti*** and terminology, along with map c***truction and some basic models. This is expanded upon in Part II by applying this knowledge to the fundamental problems within spatial epidemiology, such as disease mapping, ecological ***ysis, disease clustering, bio-terrorism, space-time ***ysis, surveillance and infectious disease modelling. Provides a comprehensive overview of the main statistical methods used in spatial epidemiology. Updated to include a new emphasis on bio-terrorism and disease surveillance. Emphasizes the importance of space-time modelling and outlines the practical application of the method. Discusses the wide range of software available for ***yzing spatial data, including WinBUGS, SaTScan and R, and features an accompanying website hosting related software. Contains numerous data sets, each representing a different approach to the ***ysis, and provides an insight into various modelling techniques. This text is primarily aimed at medical statisticians, researchers and practitioners from public health and epidemiology. It is also suitable for postgraduate students of statistics and epidemiology, as well professionals working in government agencies.