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[null,"1.","Record Nr.",null,"UNINA9911020109003321"]
[null,null,"Autore",null,"Lawson Andrew (Andrew B.)"]
[null,null,"Titolo",null,"Statistical methods in spatial epidemiology / / Andrew B. Lawson"]
[null,null,"Pubbl/distr/stampa",null,"Chichester, England ; ; Hoboken, NJ, : Wiley, c2006"]
[null,null,"ISBN",null,"9781118723173"]
[{"$nulls":4},"1118723171"]
[{"$nulls":4},"9780470035771"]
[{"$nulls":4},"0470035773"]
[{"$nulls":4},"9780470035788"]
[{"$nulls":4},"0470035781"]
[null,null,"Edizione",null,"[2nd ed.]"]
[null,null,"Descrizione fisica",null,"1 online resource (424 pages)"]
[null,null,"Collana",null,"Wiley series in probability and statistics"]
[null,null,"Disciplina",null,"614.4/2"]
[null,null,"Soggetti",null,"Epidemiology - Statistical methods"]
[{"$nulls":4},"Medical geography - Statistical methods"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references (p. 367-388) and index."]
[null,null,"Nota di contenuto",null,"\"\"Title Page \"\"; \"\"Contents\"\"; \"\"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\"\""]
[{"$nulls":4},"\"\"2 Scales of Measurement and Data Availability \"\"\"\"2.1 Small Scale\"\"; \"\"2.2 Large Scale\"\"; \"\"2.3 Rate Dependence\"\"; \"\"2.4 Data Quality and the Ecological Fallacy\"\"; \"\"2.5 Edge Effects\"\"; \"\"3 Geographical Representation and Mapping \"\"; \"\"3.1 Introduction and Definitions\"\"; \"\"3.2 Maps and Mapping\"\"; \"\"3.2.1 Statistical maps and mapping\"\"; \"\"3.2.2 Object process mapping\"\"; \"\"3.2.3 Geostatistical mapping\"\"; \"\"3.3 Statistical Accuracy\"\"; \"\"3.4 Aggregation\"\"; \"\"3.5 Mapping Issues Related to Aggregated Data\"\"; \"\"3.6 Conclusions\"\"; \"\"4 Basic Models \"\"; \"\"4.1 Sampling Considerations\"\""]
[{"$nulls":4},"\"\"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 "]
[{"$nulls":4},"regionalisation\"\"; \"\"4.3.4 Bayesian models and random effects\"\"; \"\"4.3.5 MAP estimation, empirical Bayes and full Bayesian analysis\"\"; \"\"4.3.6 Bivariate/multivariate models\"\"; \"\"4.3.7 Hidden structure and mixture models\"\"; \"\"4.3.8 Space-time extensions\"\"; \"\"4.4 Count Models\"\"; \"\"4.4.1 Standard models\"\"; \"\"4.4.2 Approximations\"\"; \"\"4.4.3 Random-effect extensions\"\""]
[{"$nulls":4},"\"\"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\"\""]
[{"$nulls":4},"\"\"5.5.3 Edge weighting schemes and MCMC methods\"\"\"\"5.5.4 Discussion\"\"; \"\"5.5.5 The Tuscany example\"\"; \"\"II Important Problems in Spatial Epidemiology \"\"; \"\"6 Small Scale: Disease Clustering \"\"; \"\"6.1 Definition of Clusters and Clustering\"\"; \"\"6.2 Modelling Issues\"\"; \"\"6.3 Hypothesis Tests for Clustering\"\"; \"\"6.3.1 General non-specific clustering\"\"; \"\"6.3.2 Specific clustering\"\"; \"\"6.4 Space-Time Clustering\"\"; \"\"6.4.1 Modelling issues\"\"; \"\"6.4.2 Hypothesis testing\"\"; \"\"6.5 Clustering Examples\"\"; \"\"6.5.1 Humberside example\"\"; \"\"6.5.2 Larynx cancer example\"\""]
[{"$nulls":4},"\"\"6.5.3 Count data clustering example\"\""]
[null,null,null,"Sommario/riassunto","Spatial epidemiology is the description and analysis of the geographical distribution of disease. It is more important now than ever, with modern threats such as bio-terrorism making such analysis even more complex. This second edition of Statistical Methods in Spatial Epidemiology is updated and expanded to offer a complete coverage of the analysis and application of spatial statistical methods. The book is divided into two main sections: Part 1 introduces basic definitions and terminology, along with map construction and some basic models."]