(Wiley Series in Probability and Statistics) 1st Edition
by Katie Harron (Author), Harvey Goldstein (Author), Chris Dibben (Author)
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.
