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Disease mapping with WinBUGS and MLwiN [[electronic resource] /] / Andrew B. Lawson, William J. Browne, Carmen L. Vidal Rodeiro
| Disease mapping with WinBUGS and MLwiN [[electronic resource] /] / Andrew B. Lawson, William J. Browne, Carmen L. Vidal Rodeiro |
| Autore | Lawson Andrew (Andrew B.) |
| Pubbl/distr/stampa | Chichester, West Sussex, England ; ; Hoboken, NJ, : J. Wiley, c2003 |
| Descrizione fisica | 1 online resource (293 p.) |
| Disciplina |
614
614.4202855369 615.4/2/0727 |
| Altri autori (Persone) |
BrowneWilliam J <1972-> (William John)
Vidal RodeiroCarmen L |
| Collana | Statistics in practice |
| Soggetto topico |
Medical mapping
Medical geography - Maps - Data processing Epidemiology - Statistical methods Epidemiology - Data processing Public health surveillance |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-280-27039-X
9786610270392 0-470-34164-5 0-470-85605-X 0-470-85606-8 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Disease Mapping with WinBUGS and MLwiN; Contents; Preface; Notation; 0.1 Standard notation for multilevel modelling; 0.2 Spatial multiple-membership models and the MMMC notation; 0.3 Standard notation for WinBUGS models; 1 Disease mapping basics; 1.1 Disease mapping and map reconstruction; 1.2 Disease map restoration; 2 Bayesian hierarchical modelling; 2.1 Likelihood and posterior distributions; 2.2 Hierarchical models; 2.3 Posterior inference; 2.4 Markov chain Monte Carlo methods; 2.5 Metropolis and Metropolis-Hastings algorithms; 2.6 Residuals and goodness of fit; 3 Multilevel modelling
3.1 Continuous response models3.2 Estimation procedures for multilevel models; 3.3 Poisson response models; 3.4 Incorporating spatial information; 3.5 Discussion; 4 WinBUGS basics; 4.1 About WinBUGS; 4.2 Start using WinBUGS; 4.3 Specification of the model; 4.4 Model fitting; 4.5 Scripts; 4.6 Checking convergence; 4.7 Spatial modelling: GeoBUGS; 4.8 Conclusions; 5 MLwiN basics; 5.1 About MLwiN; 5.2 Getting started; 5.3 Fitting statistical models; 5.4 MCMC estimation in MLwiN; 5.5 Spatial modelling; 5.6 Conclusions; 6 Relative risk estimation; 6.1 Relative risk estimation using WinBUGS 6.2 Spatial prediction6.3 An analysis of the Ohio dataset using MLwiN; 7 Focused clustering: the analysis of putative health hazards; 7.1 Introduction; 7.2 Study design; 7.3 Problems of inference; 7.4 Modelling the hazard exposure risk; 7.5 Models for count data; 7.6 Bayesian models; 7.7 Focused clustering in WinBUGS; 7.8 Focused clustering in MLwiN; 8 Ecological analysis; 8.1 Introduction; 8.2 Statistical models; 8.3 WinBUGS analyses of ecological datasets; 8.4 MLwiN analyses of ecological datasets; 9 Spatially-correlated survival analysis; 9.1 Survival analysis in WinBUGS 9.2 Survival analysis in MLwiN10 Epilogue; Appendix 1: WinBUGS code for focused clustering models; A.1 Falkirk example; A.2 Ohio example; Appendix 2: S-Plus function for conversion to GeoBUGS format; Bibliography; Index |
| Record Nr. | UNINA-9910143214303321 |
Lawson Andrew (Andrew B.)
|
||
| Chichester, West Sussex, England ; ; Hoboken, NJ, : J. Wiley, c2003 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Disease mapping with WinBUGS and MLwiN [[electronic resource] /] / Andrew B. Lawson, William J. Browne, Carmen L. Vidal Rodeiro
| Disease mapping with WinBUGS and MLwiN [[electronic resource] /] / Andrew B. Lawson, William J. Browne, Carmen L. Vidal Rodeiro |
| Autore | Lawson Andrew (Andrew B.) |
| Pubbl/distr/stampa | Chichester, West Sussex, England ; ; Hoboken, NJ, : J. Wiley, c2003 |
| Descrizione fisica | 1 online resource (293 p.) |
| Disciplina |
614
614.4202855369 615.4/2/0727 |
| Altri autori (Persone) |
BrowneWilliam J <1972-> (William John)
Vidal RodeiroCarmen L |
| Collana | Statistics in practice |
| Soggetto topico |
Medical mapping
Medical geography - Maps - Data processing Epidemiology - Statistical methods Epidemiology - Data processing Public health surveillance |
| ISBN |
1-280-27039-X
9786610270392 0-470-34164-5 0-470-85605-X 0-470-85606-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Disease Mapping with WinBUGS and MLwiN; Contents; Preface; Notation; 0.1 Standard notation for multilevel modelling; 0.2 Spatial multiple-membership models and the MMMC notation; 0.3 Standard notation for WinBUGS models; 1 Disease mapping basics; 1.1 Disease mapping and map reconstruction; 1.2 Disease map restoration; 2 Bayesian hierarchical modelling; 2.1 Likelihood and posterior distributions; 2.2 Hierarchical models; 2.3 Posterior inference; 2.4 Markov chain Monte Carlo methods; 2.5 Metropolis and Metropolis-Hastings algorithms; 2.6 Residuals and goodness of fit; 3 Multilevel modelling
3.1 Continuous response models3.2 Estimation procedures for multilevel models; 3.3 Poisson response models; 3.4 Incorporating spatial information; 3.5 Discussion; 4 WinBUGS basics; 4.1 About WinBUGS; 4.2 Start using WinBUGS; 4.3 Specification of the model; 4.4 Model fitting; 4.5 Scripts; 4.6 Checking convergence; 4.7 Spatial modelling: GeoBUGS; 4.8 Conclusions; 5 MLwiN basics; 5.1 About MLwiN; 5.2 Getting started; 5.3 Fitting statistical models; 5.4 MCMC estimation in MLwiN; 5.5 Spatial modelling; 5.6 Conclusions; 6 Relative risk estimation; 6.1 Relative risk estimation using WinBUGS 6.2 Spatial prediction6.3 An analysis of the Ohio dataset using MLwiN; 7 Focused clustering: the analysis of putative health hazards; 7.1 Introduction; 7.2 Study design; 7.3 Problems of inference; 7.4 Modelling the hazard exposure risk; 7.5 Models for count data; 7.6 Bayesian models; 7.7 Focused clustering in WinBUGS; 7.8 Focused clustering in MLwiN; 8 Ecological analysis; 8.1 Introduction; 8.2 Statistical models; 8.3 WinBUGS analyses of ecological datasets; 8.4 MLwiN analyses of ecological datasets; 9 Spatially-correlated survival analysis; 9.1 Survival analysis in WinBUGS 9.2 Survival analysis in MLwiN10 Epilogue; Appendix 1: WinBUGS code for focused clustering models; A.1 Falkirk example; A.2 Ohio example; Appendix 2: S-Plus function for conversion to GeoBUGS format; Bibliography; Index |
| Record Nr. | UNINA-9910831057903321 |
|
Lawson Andrew (Andrew B.)
|
||
| Chichester, West Sussex, England ; ; Hoboken, NJ, : J. Wiley, c2003 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Disease mapping with WinBUGS and MLwiN / / Andrew B. Lawson, William J. Browne, Carmen L. Vidal Rodeiro
| Disease mapping with WinBUGS and MLwiN / / Andrew B. Lawson, William J. Browne, Carmen L. Vidal Rodeiro |
| Autore | Lawson Andrew (Andrew B.) |
| Pubbl/distr/stampa | Chichester, West Sussex, England ; ; Hoboken, NJ, : J. Wiley, c2003 |
| Descrizione fisica | 1 online resource (293 p.) |
| Disciplina | 615.4/2/0727 |
| Altri autori (Persone) |
BrowneWilliam J <1972-> (William John)
Vidal RodeiroCarmen L |
| Collana | Statistics in practice |
| Soggetto topico |
Medical mapping
Medical geography - Maps - Data processing Epidemiology - Statistical methods Epidemiology - Data processing Public health surveillance |
| ISBN |
9786610270392
9781280270390 128027039X 9780470341643 0470341645 9780470856055 047085605X 9780470856062 0470856068 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Disease Mapping with WinBUGS and MLwiN; Contents; Preface; Notation; 0.1 Standard notation for multilevel modelling; 0.2 Spatial multiple-membership models and the MMMC notation; 0.3 Standard notation for WinBUGS models; 1 Disease mapping basics; 1.1 Disease mapping and map reconstruction; 1.2 Disease map restoration; 2 Bayesian hierarchical modelling; 2.1 Likelihood and posterior distributions; 2.2 Hierarchical models; 2.3 Posterior inference; 2.4 Markov chain Monte Carlo methods; 2.5 Metropolis and Metropolis-Hastings algorithms; 2.6 Residuals and goodness of fit; 3 Multilevel modelling
3.1 Continuous response models3.2 Estimation procedures for multilevel models; 3.3 Poisson response models; 3.4 Incorporating spatial information; 3.5 Discussion; 4 WinBUGS basics; 4.1 About WinBUGS; 4.2 Start using WinBUGS; 4.3 Specification of the model; 4.4 Model fitting; 4.5 Scripts; 4.6 Checking convergence; 4.7 Spatial modelling: GeoBUGS; 4.8 Conclusions; 5 MLwiN basics; 5.1 About MLwiN; 5.2 Getting started; 5.3 Fitting statistical models; 5.4 MCMC estimation in MLwiN; 5.5 Spatial modelling; 5.6 Conclusions; 6 Relative risk estimation; 6.1 Relative risk estimation using WinBUGS 6.2 Spatial prediction6.3 An analysis of the Ohio dataset using MLwiN; 7 Focused clustering: the analysis of putative health hazards; 7.1 Introduction; 7.2 Study design; 7.3 Problems of inference; 7.4 Modelling the hazard exposure risk; 7.5 Models for count data; 7.6 Bayesian models; 7.7 Focused clustering in WinBUGS; 7.8 Focused clustering in MLwiN; 8 Ecological analysis; 8.1 Introduction; 8.2 Statistical models; 8.3 WinBUGS analyses of ecological datasets; 8.4 MLwiN analyses of ecological datasets; 9 Spatially-correlated survival analysis; 9.1 Survival analysis in WinBUGS 9.2 Survival analysis in MLwiN10 Epilogue; Appendix 1: WinBUGS code for focused clustering models; A.1 Falkirk example; A.2 Ohio example; Appendix 2: S-Plus function for conversion to GeoBUGS format; Bibliography; Index |
| Record Nr. | UNINA-9911020330003321 |
|
Lawson Andrew (Andrew B.)
|
||
| Chichester, West Sussex, England ; ; Hoboken, NJ, : J. Wiley, c2003 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
An introductory guide to disease mapping
| An introductory guide to disease mapping |
| Autore | Lawson Andrew (Andrew B.) |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | [Place of publication not identified], : John Wiley, 2001 |
| Descrizione fisica | 1 online resource (140 pages) |
| Disciplina | 614.42 |
| Soggetto topico |
Geography
Investigative Techniques Statistics as Topic Public Health Environment and Public Health Earth Sciences Health Care Evaluation Mechanisms Delivery of Health Care Quality of Health Care Natural Science Disciplines Health Care Quality, Access, and Evaluation Cluster Analysis Epidemiologic Methods Topography, Medical Health & Biological Sciences Medical Geography |
| ISBN |
1-280-55450-9
9786610554508 0-470-36146-8 0-470-85398-0 0-470-84257-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9911019339803321 |
|
Lawson Andrew (Andrew B.)
|
||
| [Place of publication not identified], : John Wiley, 2001 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Statistical methods in spatial epidemiology / / Andrew B. Lawson
| Statistical methods in spatial epidemiology / / Andrew B. Lawson |
| Autore | Lawson Andrew (Andrew B.) |
| Edizione | [Second edition.] |
| Pubbl/distr/stampa | Chichester, England ; ; Hoboken, NJ : , : Wiley, , [2006] |
| Descrizione fisica | 1 online resource (424 pages) |
| Disciplina |
614.4
614.42 |
| Collana | Wiley series in probability and statistics |
| Soggetto topico |
Epidemiology - Statistical methods
Medical geography - Statistical methods |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-118-72317-1
0-470-03577-3 0-470-03578-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
""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""
""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 ""; ""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"" ""6.5.3 Count data clustering example"" |
| Record Nr. | UNINA-9910141564603321 |
|
Lawson Andrew (Andrew B.)
|
||
| Chichester, England ; ; Hoboken, NJ : , : Wiley, , [2006] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Statistical methods in spatial epidemiology / / Andrew B. Lawson
| Statistical methods in spatial epidemiology / / Andrew B. Lawson |
| Autore | Lawson Andrew (Andrew B.) |
| Edizione | [Second edition.] |
| Pubbl/distr/stampa | Chichester, England ; ; Hoboken, NJ : , : Wiley, , [2006] |
| Descrizione fisica | 1 online resource (424 pages) |
| Disciplina |
614.4
614.42 |
| Collana | Wiley series in probability and statistics |
| Soggetto topico |
Epidemiology - Statistical methods
Medical geography - Statistical methods |
| ISBN |
1-118-72317-1
0-470-03577-3 0-470-03578-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
""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""
""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 ""; ""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"" ""6.5.3 Count data clustering example"" |
| Record Nr. | UNINA-9910830962403321 |
|
Lawson Andrew (Andrew B.)
|
||
| Chichester, England ; ; Hoboken, NJ : , : Wiley, , [2006] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Statistical methods in spatial epidemiology / / Andrew B. Lawson
| Statistical methods in spatial epidemiology / / Andrew B. Lawson |
| Autore | Lawson Andrew (Andrew B.) |
| Edizione | [2nd ed.] |
| Pubbl/distr/stampa | Chichester, England ; ; Hoboken, NJ, : Wiley, c2006 |
| Descrizione fisica | 1 online resource (424 pages) |
| Disciplina | 614.4/2 |
| Collana | Wiley series in probability and statistics |
| Soggetto topico |
Epidemiology - Statistical methods
Medical geography - Statistical methods |
| ISBN |
9781118723173
1118723171 9780470035771 0470035773 9780470035788 0470035781 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
""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""
""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 ""; ""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"" ""6.5.3 Count data clustering example"" |
| Record Nr. | UNINA-9911020109003321 |
|
Lawson Andrew (Andrew B.)
|
||
| Chichester, England ; ; Hoboken, NJ, : Wiley, c2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||