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|a 9781119072485
|b Wiley
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|a 9820796
|b IEEE
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|a Methodological developments in data linkage /
|c edited by Katie Harron, Harvey Goldstein and Chris Dibben.
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264 |
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|a Chichester, West Sussex, United Kingdom :
|b Wiley,
|c 2016.
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300 |
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|a 1 online resource
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336 |
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|a text
|b txt
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|a computer
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|a Includes bibliographical references and index.
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|a Print version record and CIP data provided by publisher.
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|a Title Page; Table of Contents; Foreword; Contributors; 1 Introduction; 1.1 Introduction: data linkage as it exists; 1.2 Background and issues; 1.3 Data linkage methods; 1.4 Linkage error; 1.5 Impact of linkage error on analysis of linked data; 1.6 Data linkage: the future; 2 Probabilistic linkage; 2.1 Introduction; 2.2 Overview of methods; 2.3 Data preparation; 2.4 Advanced methods; 2.5 Concluding comments; 3 The data linkage environment; 3.1 Introduction; 3.2 The data linkage context; 3.3 The tools used in the production of functional anonymity through a data linkage environment.
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|a 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. Methodological Developments in Data Linkage 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. Key Features: Presents cutting edge methods for a topic of increasing importance to a wide range of research areas, with applications to data linkage systems internationally Covers the essential issues associated with data linkage today Includes examples based on real data linkage systems, highlighting the opportunities, successes and challenges that the increasing availability of linkage data provides 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.
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590 |
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|a ProQuest Ebook Central
|b Ebook Central Academic Complete
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650 |
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0 |
|a Database management.
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650 |
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0 |
|a Linked data.
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650 |
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|a Relational databases.
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650 |
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0 |
|a Big data.
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650 |
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2 |
|a Semantic Web
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650 |
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6 |
|a Bases de données
|x Gestion.
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650 |
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6 |
|a Données liées.
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650 |
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|a Bases de données relationnelles.
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650 |
|
6 |
|a Données volumineuses.
|
650 |
|
7 |
|a COMPUTERS
|x Databases
|x Data Mining.
|2 bisacsh
|
650 |
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7 |
|a Big data
|2 fast
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650 |
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7 |
|a Database management
|2 fast
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650 |
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7 |
|a Linked data
|2 fast
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650 |
|
7 |
|a Relational databases
|2 fast
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700 |
1 |
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|a Harron, Katie,
|e editor.
|
700 |
1 |
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|a Goldstein, Harvey,
|d 1939-
|e editor.
|
700 |
1 |
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|a Dibben, Chris,
|e editor.
|
758 |
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|i has work:
|a Methodological developments in data linkage (Text)
|1 https://id.oclc.org/worldcat/entity/E39PCGXrRwKtPKWy3f8BFBcJQq
|4 https://id.oclc.org/worldcat/ontology/hasWork
|
776 |
0 |
8 |
|i Print version:
|t Methodological developments in data linkage.
|d Chichester, West Sussex, United Kingdom : John Wiley & Sons Inc., 2016
|z 9781118745878
|w (DLC) 2015035007
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856 |
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