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Biblioteca

MARC Lista (tabellare)
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
Opac: Controlla la disponibilità qui
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
Opac: Controlla la disponibilità qui
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 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-9910877817503321
Lawson Andrew (Andrew B.)  
Chichester, West Sussex, England ; ; Hoboken, NJ, : J. Wiley, c2003
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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
Opac: Controlla la disponibilità qui
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
Opac: Controlla la disponibilità qui
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 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-9910877785703321
Lawson Andrew (Andrew B.)  
Chichester, England ; ; Hoboken, NJ, : Wiley, c2006
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui