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Methodological Developments in Data Linkage (Hardcover)
Loot Price: R2,104
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Methodological Developments in Data Linkage (Hardcover)
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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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