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Bayesian biostatistics [[electronic resource] /] / Emmanuel Lesaffre, Andrew B. Lawson
| Bayesian biostatistics [[electronic resource] /] / Emmanuel Lesaffre, Andrew B. Lawson |
| Autore | Lesaffre Emmanuel |
| Pubbl/distr/stampa | Chichester, West Sussex, : John Wiley & Sons, 2012 |
| Descrizione fisica | 1 online resource (536 pages) |
| Disciplina | 570.1/5195 |
| Altri autori (Persone) | LawsonAndrew (Andrew B.) |
| Collana | Statistics in practice |
| Soggetto topico |
Biometry - Methodology
Bayesian statistical decision theory |
| ISBN |
1-118-31457-3
1-280-77255-7 9786613683328 1-118-31456-5 1-119-94241-1 1-119-94240-3 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Basic concepts in Bayesian methods -- Bayes theorem -- Posterior summary measures -- More than one parameter -- The prior distribution -- Markov chain Monte Carlo -- Software -- Hierarchical models -- Model building and assessment -- Variable selection -- Bioassay -- Measurement error -- Survival analysis -- Longitudinal analysis -- Disease mapping & image analysis -- Final chapter -- Distributions. |
| Record Nr. | UNINA-9910141259403321 |
Lesaffre Emmanuel
|
||
| Chichester, West Sussex, : John Wiley & Sons, 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Bayesian biostatistics / / Emmanuel Lesaffre, Andrew B. Lawson
| Bayesian biostatistics / / Emmanuel Lesaffre, Andrew B. Lawson |
| Autore | Lesaffre Emmanuel |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Chichester, West Sussex, : John Wiley & Sons, 2012 |
| Descrizione fisica | 1 online resource (536 pages) |
| Disciplina | 570.1/5195 |
| Altri autori (Persone) | LawsonAndrew (Andrew B.) |
| Collana | Statistics in practice |
| Soggetto topico |
Biometry - Methodology
Bayesian statistical decision theory |
| ISBN |
1-118-31457-3
1-280-77255-7 9786613683328 1-118-31456-5 1-119-94241-1 1-119-94240-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Basic concepts in Bayesian methods -- Bayes theorem -- Posterior summary measures -- More than one parameter -- The prior distribution -- Markov chain Monte Carlo -- Software -- Hierarchical models -- Model building and assessment -- Variable selection -- Bioassay -- Measurement error -- Survival analysis -- Longitudinal analysis -- Disease mapping & image analysis -- Final chapter -- Distributions. |
| Record Nr. | UNINA-9910807325103321 |
|
Lesaffre Emmanuel
|
||
| Chichester, West Sussex, : John Wiley & Sons, 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Spatial and syndromic surveillance for public health [[electronic resource] /] / edited by Andrew B. Lawson, Ken Kleinman
| Spatial and syndromic surveillance for public health [[electronic resource] /] / edited by Andrew B. Lawson, Ken Kleinman |
| Pubbl/distr/stampa | Chichester, West Sussex, England ; ; Hoboken, NJ, : J. Wiley & Sons, c2005 |
| Descrizione fisica | 1 online resource (285 p.) |
| Disciplina | 614.4 |
| Altri autori (Persone) |
LawsonAndrew (Andrew B.)
KleinmanKen |
| Soggetto topico |
Public health surveillance
Epidemiology |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-280-23853-4
9786610238538 0-470-09250-5 0-470-09249-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Spatial and Syndromic Surveillance for Public Health; Contents; Preface; List of Contributors; 1 Introduction: Spatial and syndromic surveillance for public health; 1.1 What is public health surveillance?; 1.1.1 Spatial surveillance; 1.1.2 Syndromic surveillance; 1.2 The increased importance of public health surveillance; 1.3 Geographic information, cluster detection and spatial surveillance; 1.4 Surveillance and screening; 1.5 Overview of process control and mapping; 1.5.1 Process control methodology; 1.5.2 The analysis of maps and surveillance; 1.6 The purpose of this book
1.6.1 Statistical surveillance and methodological development in a public health context1.6.2 The statistician's role in surveillance; 1.7 The contents of this book; Part I Introduction to Temporal Surveillance; 2 Overview of temporal surveillance; 2.1 Introduction; 2.1.1 Surveillance systems; 2.1.2 Surveillance attributes; 2.1.3 Early detection of unusual health events; 2.2 Statistical methods; 2.2.1 Historical limits method; 2.2.2 Process control charts; 2.2.3 Time-series analysis; 2.3 Conclusion; 3 Optimal surveillance; 3.1 Introduction 3.2 Optimality for a fixed sample and for on-line surveillance3.3 Specification of the statistical surveillance problem; 3.4 Evaluations of systems for surveillance; 3.4.1 Measures for a fixed sample situation adopted for surveillance; 3.4.2 False alarms; 3.4.3 Delay of the alarm; 3.4.4 Predictive value; 3.5 Optimality criteria; 3.5.1 Minimal expected delay; 3.5.2 Minimax optimality; 3.5.3 Average run length; 3.6 Optimality of some standard methods; 3.6.1 The likelihood ratio method; 3.6.2 The Shewhart method; 3.6.3 The CUSUM method; 3.6.4 Moving average and window-based methods 3.6.5 Exponentially weighted moving average methods3.7 Special aspects of optimality for surveillance of public health; 3.7.1 Gradual changes during outbreaks of diseases; 3.7.2 Change between unknown incidences; 3.7.3 Spatial and other multivariate surveillance; 3.8 Concluding remarks; Acknowledgment; Part II Basic Methods for Spatial and Syndromic Surveillance; 4 Spatial and spatio-temporal disease analysis; 4.1 Introduction; 4.2 Disease mapping and map reconstruction; 4.3 Disease map restoration; 4.3.1 Simple statistical representations; 4.3.2 Basic models 4.3.3 A simple overdispersion model4.3.4 Advanced Bayesian models; 4.4 Residuals and goodness of fit; 4.5 Spatio-temporal analysis; 4.6 Surveillance issues; 5 Generalized linear models and generalized linear mixed models for small-area surveillance; 5.1 Introduction; 5.2 Surveillance using small-area modeling; 5.2.1 Example; 5.2.2 Using the model results; 5.3 Alternate model formulations; 5.3.1 Fixed effects logistic regression; 5.3.2 Poisson regression models; 5.4 Practical variations; 5.5 Data; 5.5.1 Developing and defining syndromes; 5.6 Evaluation 5.6.1 Fixed and random effects monthly models |
| Record Nr. | UNINA-9910143707503321 |
| Chichester, West Sussex, England ; ; Hoboken, NJ, : J. Wiley & Sons, c2005 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Spatial and syndromic surveillance for public health [[electronic resource] /] / edited by Andrew B. Lawson, Ken Kleinman
| Spatial and syndromic surveillance for public health [[electronic resource] /] / edited by Andrew B. Lawson, Ken Kleinman |
| Pubbl/distr/stampa | Chichester, West Sussex, England ; ; Hoboken, NJ, : J. Wiley & Sons, c2005 |
| Descrizione fisica | 1 online resource (285 p.) |
| Disciplina | 614.4 |
| Altri autori (Persone) |
LawsonAndrew (Andrew B.)
KleinmanKen |
| Soggetto topico |
Public health surveillance
Epidemiology |
| ISBN |
1-280-23853-4
9786610238538 0-470-09250-5 0-470-09249-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Spatial and Syndromic Surveillance for Public Health; Contents; Preface; List of Contributors; 1 Introduction: Spatial and syndromic surveillance for public health; 1.1 What is public health surveillance?; 1.1.1 Spatial surveillance; 1.1.2 Syndromic surveillance; 1.2 The increased importance of public health surveillance; 1.3 Geographic information, cluster detection and spatial surveillance; 1.4 Surveillance and screening; 1.5 Overview of process control and mapping; 1.5.1 Process control methodology; 1.5.2 The analysis of maps and surveillance; 1.6 The purpose of this book
1.6.1 Statistical surveillance and methodological development in a public health context1.6.2 The statistician's role in surveillance; 1.7 The contents of this book; Part I Introduction to Temporal Surveillance; 2 Overview of temporal surveillance; 2.1 Introduction; 2.1.1 Surveillance systems; 2.1.2 Surveillance attributes; 2.1.3 Early detection of unusual health events; 2.2 Statistical methods; 2.2.1 Historical limits method; 2.2.2 Process control charts; 2.2.3 Time-series analysis; 2.3 Conclusion; 3 Optimal surveillance; 3.1 Introduction 3.2 Optimality for a fixed sample and for on-line surveillance3.3 Specification of the statistical surveillance problem; 3.4 Evaluations of systems for surveillance; 3.4.1 Measures for a fixed sample situation adopted for surveillance; 3.4.2 False alarms; 3.4.3 Delay of the alarm; 3.4.4 Predictive value; 3.5 Optimality criteria; 3.5.1 Minimal expected delay; 3.5.2 Minimax optimality; 3.5.3 Average run length; 3.6 Optimality of some standard methods; 3.6.1 The likelihood ratio method; 3.6.2 The Shewhart method; 3.6.3 The CUSUM method; 3.6.4 Moving average and window-based methods 3.6.5 Exponentially weighted moving average methods3.7 Special aspects of optimality for surveillance of public health; 3.7.1 Gradual changes during outbreaks of diseases; 3.7.2 Change between unknown incidences; 3.7.3 Spatial and other multivariate surveillance; 3.8 Concluding remarks; Acknowledgment; Part II Basic Methods for Spatial and Syndromic Surveillance; 4 Spatial and spatio-temporal disease analysis; 4.1 Introduction; 4.2 Disease mapping and map reconstruction; 4.3 Disease map restoration; 4.3.1 Simple statistical representations; 4.3.2 Basic models 4.3.3 A simple overdispersion model4.3.4 Advanced Bayesian models; 4.4 Residuals and goodness of fit; 4.5 Spatio-temporal analysis; 4.6 Surveillance issues; 5 Generalized linear models and generalized linear mixed models for small-area surveillance; 5.1 Introduction; 5.2 Surveillance using small-area modeling; 5.2.1 Example; 5.2.2 Using the model results; 5.3 Alternate model formulations; 5.3.1 Fixed effects logistic regression; 5.3.2 Poisson regression models; 5.4 Practical variations; 5.5 Data; 5.5.1 Developing and defining syndromes; 5.6 Evaluation 5.6.1 Fixed and random effects monthly models |
| Record Nr. | UNINA-9910830854103321 |
| Chichester, West Sussex, England ; ; Hoboken, NJ, : J. Wiley & Sons, c2005 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Spatial and syndromic surveillance for public health / / edited by Andrew B. Lawson, Ken Kleinman
| Spatial and syndromic surveillance for public health / / edited by Andrew B. Lawson, Ken Kleinman |
| Pubbl/distr/stampa | Chichester, West Sussex, England ; ; Hoboken, NJ, : J. Wiley & Sons, c2005 |
| Descrizione fisica | 1 online resource (285 p.) |
| Disciplina | 614.4 |
| Altri autori (Persone) |
LawsonAndrew (Andrew B.)
KleinmanKen |
| Soggetto topico |
Public health surveillance
Epidemiology |
| ISBN |
1-280-23853-4
9786610238538 0-470-09250-5 0-470-09249-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Spatial and Syndromic Surveillance for Public Health; Contents; Preface; List of Contributors; 1 Introduction: Spatial and syndromic surveillance for public health; 1.1 What is public health surveillance?; 1.1.1 Spatial surveillance; 1.1.2 Syndromic surveillance; 1.2 The increased importance of public health surveillance; 1.3 Geographic information, cluster detection and spatial surveillance; 1.4 Surveillance and screening; 1.5 Overview of process control and mapping; 1.5.1 Process control methodology; 1.5.2 The analysis of maps and surveillance; 1.6 The purpose of this book
1.6.1 Statistical surveillance and methodological development in a public health context1.6.2 The statistician's role in surveillance; 1.7 The contents of this book; Part I Introduction to Temporal Surveillance; 2 Overview of temporal surveillance; 2.1 Introduction; 2.1.1 Surveillance systems; 2.1.2 Surveillance attributes; 2.1.3 Early detection of unusual health events; 2.2 Statistical methods; 2.2.1 Historical limits method; 2.2.2 Process control charts; 2.2.3 Time-series analysis; 2.3 Conclusion; 3 Optimal surveillance; 3.1 Introduction 3.2 Optimality for a fixed sample and for on-line surveillance3.3 Specification of the statistical surveillance problem; 3.4 Evaluations of systems for surveillance; 3.4.1 Measures for a fixed sample situation adopted for surveillance; 3.4.2 False alarms; 3.4.3 Delay of the alarm; 3.4.4 Predictive value; 3.5 Optimality criteria; 3.5.1 Minimal expected delay; 3.5.2 Minimax optimality; 3.5.3 Average run length; 3.6 Optimality of some standard methods; 3.6.1 The likelihood ratio method; 3.6.2 The Shewhart method; 3.6.3 The CUSUM method; 3.6.4 Moving average and window-based methods 3.6.5 Exponentially weighted moving average methods3.7 Special aspects of optimality for surveillance of public health; 3.7.1 Gradual changes during outbreaks of diseases; 3.7.2 Change between unknown incidences; 3.7.3 Spatial and other multivariate surveillance; 3.8 Concluding remarks; Acknowledgment; Part II Basic Methods for Spatial and Syndromic Surveillance; 4 Spatial and spatio-temporal disease analysis; 4.1 Introduction; 4.2 Disease mapping and map reconstruction; 4.3 Disease map restoration; 4.3.1 Simple statistical representations; 4.3.2 Basic models 4.3.3 A simple overdispersion model4.3.4 Advanced Bayesian models; 4.4 Residuals and goodness of fit; 4.5 Spatio-temporal analysis; 4.6 Surveillance issues; 5 Generalized linear models and generalized linear mixed models for small-area surveillance; 5.1 Introduction; 5.2 Surveillance using small-area modeling; 5.2.1 Example; 5.2.2 Using the model results; 5.3 Alternate model formulations; 5.3.1 Fixed effects logistic regression; 5.3.2 Poisson regression models; 5.4 Practical variations; 5.5 Data; 5.5.1 Developing and defining syndromes; 5.6 Evaluation 5.6.1 Fixed and random effects monthly models |
| Record Nr. | UNINA-9910877518703321 |
| Chichester, West Sussex, England ; ; Hoboken, NJ, : J. Wiley & Sons, c2005 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||