Statistical methods in spatial epidemiology
著者
書誌事項
Statistical methods in spatial epidemiology
(Wiley series in probability and mathematical statistics)
John Wiley, c2001
大学図書館所蔵 全25件
  青森
  岩手
  宮城
  秋田
  山形
  福島
  茨城
  栃木
  群馬
  埼玉
  千葉
  東京
  神奈川
  新潟
  富山
  石川
  福井
  山梨
  長野
  岐阜
  静岡
  愛知
  三重
  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
  沖縄
  韓国
  中国
  タイ
  イギリス
  ドイツ
  スイス
  フランス
  ベルギー
  オランダ
  スウェーデン
  ノルウェー
  アメリカ
注記
Includes bibliographical references and index
内容説明・目次
内容説明
Spatial Epidemiology is a rapidly growing field of research concerned with the analysis of the geographical distribution of disease. This principally involves mapping the location of disease cases and the analysis of the mapped data using spatial statistical methods. The growth of the field looks set to continue in line with increasing public, government and media concern about environmental and health issues. Comprehensive overview of the main statistical methods used in spatial epidemiology Contains many data examples -- each represents a different approach to the analysis, and provides an insight into the various modelling techniques Describes modern simulation--based methods suitable for highly complex modelling problems Discusses the wide range of software available for analysing spatial data Contains an extensive bibliography The first part of the book provides all the necessary definitions and terminology, introduces some data examples, and considers map construction along with some basic models.
The second part covers important problems in spatial epidemiology, with detailed coverage of disease mapping, ecological analysis, disease clustering and infectious disease modelling. Primarily aimed at medical statisticians, epidemiologists, environmental statisticians, and researchers in public health, this text will also appeal to postgraduate students of statistics or epidemiology.
目次
Preface. THE NATURE OF SPATIAL EPIDEMIOLOGY. Definitions, Terminology and Data Sets. Scales of Measurement and Data Availability. Geographical Representation and Mapping. Basic Models. Exploratory Approaches, Parametric Estimation and Inference. IMPORTANT PROBLEMS IN SPATIAL EPIDEMIOLOGY. Small Scale: Disease Clustering. Small Scale: Putative Sources of Hazard. Large Scale: Disease Mapping. Large Scale: Surveillance. Ecological Analysis. Infectious Disease Modelling. Appendix A: Monte Carlo Testing and Simulation Envelopes. Appendix B: Markov Chain Monte Carlo Methods. Appendix C: Metropolis-Hastings Cluster Sampling. Appendix D: Glossary of Estimators. Appendix E: Software. Bibliography. Index
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