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Methodological developments in data linkage / Chichester (GBR) ; Hoboken, NJ : John Wiley & Sons (2016)
Titre : Methodological developments in data linkage Type de document : texte imprimé Auteurs : Katie Harron, Éditeur scientifique ; Harvey Goldstein, Éditeur scientifique ; Chris Dibben, Éditeur scientifique Editeur : Chichester (GBR) ; Hoboken, NJ : John Wiley & Sons Année de publication : 2016 Collection : Wiley series in probability and statistics, ISSN 1940-6517 Importance : xiv-259 p. Présentation : fig., tabl. Format : 25 cm ISBN/ISSN/EAN : 978-1-118-74587-8 Note générale : Bibliogr. p. 233-252. Index Langues : Anglais (eng) Descripteurs : Analyse des données , Base de données , Collecte des données , Données massives , Erreur statistique Tags : Database management Linked data Relational databases Big data Couplage de données Données manquantes Accès aux données Gestion de l'incertitude Index. décimale : 232 Analyse des données Résumé : This book is a comprehensive compilation of new developments in data linkage methodology. The increasing availability of large administrative databases has led to a dramatic rise in the use of data linkage, yet the standard texts on linkage are still those which describe the seminal work from the 1950-60s, with some updates. Linkage and analysis of data across sources remains problematic due to lack of discriminatory and accurate identifiers, missing data and regulatory issues. Recent developments in data linkage methodology have concentrated on bias and analysis of linked data, novel approaches to organising relationships between databases and privacy-preserving linkage. It brings together a collection of contributions from members of the international data linkage community, covering cutting edge methodology in this field. It presents opportunities and challenges provided by linkage of large and often complex datasets, including analysis problems, legal and security aspects, models for data access and the development of novel research areas. New methods for handling uncertainty in analysis of linked data, solutions for anonymised linkage and alternative models for data collection are also discussed. It presents cutting edge methods for a topic of increasing importance to a wide range of research areas, with applications to data linkage systems internationally. It also covers the essential issues associated with data linkage today. It includes examples based on real data linkage systems, highlighting the opportunities, successes and challenges that the increasing availability of linkage data provides. This novel approach incorporates technical aspects of both linkage, management and analysis of linked data. This book will be of core interest to academics, government employees, data holders, data managers, analysts and statisticians who use administrative data. It will also appeal to researchers in a variety of areas, including epidemiology, biostatistics, social statistics, informatics, policy and public health. [D'après le résumé de l'éditeur] En ligne : https://www.wiley.com/en-us/Methodological+Developments+in+Data+Linkage-p-978111 [...] Permalink : https://genes.bibli.fr/index.php?lvl=notice_display&id=147102 Methodological developments in data linkage [texte imprimé] / Katie Harron, Éditeur scientifique ; Harvey Goldstein, Éditeur scientifique ; Chris Dibben, Éditeur scientifique . - Chichester (GBR) ; Hoboken, NJ : John Wiley & Sons, 2016 . - xiv-259 p. : fig., tabl. ; 25 cm. - (Wiley series in probability and statistics, ISSN 1940-6517) .
ISBN : 978-1-118-74587-8
Bibliogr. p. 233-252. Index
Langues : Anglais (eng)
Descripteurs : Analyse des données , Base de données , Collecte des données , Données massives , Erreur statistique Tags : Database management Linked data Relational databases Big data Couplage de données Données manquantes Accès aux données Gestion de l'incertitude Index. décimale : 232 Analyse des données Résumé : This book is a comprehensive compilation of new developments in data linkage methodology. The increasing availability of large administrative databases has led to a dramatic rise in the use of data linkage, yet the standard texts on linkage are still those which describe the seminal work from the 1950-60s, with some updates. Linkage and analysis of data across sources remains problematic due to lack of discriminatory and accurate identifiers, missing data and regulatory issues. Recent developments in data linkage methodology have concentrated on bias and analysis of linked data, novel approaches to organising relationships between databases and privacy-preserving linkage. It brings together a collection of contributions from members of the international data linkage community, covering cutting edge methodology in this field. It presents opportunities and challenges provided by linkage of large and often complex datasets, including analysis problems, legal and security aspects, models for data access and the development of novel research areas. New methods for handling uncertainty in analysis of linked data, solutions for anonymised linkage and alternative models for data collection are also discussed. It presents cutting edge methods for a topic of increasing importance to a wide range of research areas, with applications to data linkage systems internationally. It also covers the essential issues associated with data linkage today. It includes examples based on real data linkage systems, highlighting the opportunities, successes and challenges that the increasing availability of linkage data provides. This novel approach incorporates technical aspects of both linkage, management and analysis of linked data. This book will be of core interest to academics, government employees, data holders, data managers, analysts and statisticians who use administrative data. It will also appeal to researchers in a variety of areas, including epidemiology, biostatistics, social statistics, informatics, policy and public health. [D'après le résumé de l'éditeur] En ligne : https://www.wiley.com/en-us/Methodological+Developments+in+Data+Linkage-p-978111 [...] Permalink : https://genes.bibli.fr/index.php?lvl=notice_display&id=147102 Réservation
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