Methodological Developments in Data Linkage

Nonfiction, Health & Well Being, Medical, Reference, Biostatistics
Cover of the book Methodological Developments in Data Linkage by Katie Harron, Harvey Goldstein, Chris Dibben, Wiley
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Author: Katie Harron, Harvey Goldstein, Chris Dibben ISBN: 9781119072485
Publisher: Wiley Publication: September 22, 2015
Imprint: Wiley Language: English
Author: Katie Harron, Harvey Goldstein, Chris Dibben
ISBN: 9781119072485
Publisher: Wiley
Publication: September 22, 2015
Imprint: Wiley
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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:

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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