Электронная книга: Harvey Goldstein «Methodological Developments in Data Linkage»

Methodological Developments in Data Linkage

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.

Издательство: "John Wiley&Sons Limited"

ISBN: 9781119072461

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Harvey Goldstein

Infobox Scientist


image_width = 150px
name = Harvey Goldstein
box_width =
birth_date = 30 October 1939
birth_place =
death_date =
death_place =
residence = United Kingdom
citizenship = United Kingdom
ethnicity =
field = Statistician
work_institutions = Institute of Education University of Bristol
alma_mater = Manchester University University College London
doctoral_advisor =
doctoral_students =
known_for = Multilevel models
influences =
influenced =
prizes = Guy Medal in silver
footnotes =

Harvey Goldstein (1939–) is a British statistician known for his contributions to multilevel modelling methodology and software, and for applying this to educational assessment and league tables.

He is currently professor of social statistics in the Centre for Multilevel Modelling at the University of Bristol. From 1977 to 2005, he was professor of statistical methods at the Institute of Education of the University of London. He is the author of a monograph on multilevel statistical models.

He was elected a fellow of the British Academy in 1996 and awarded the Guy Medal in silver by the Royal Statistical Society in 1998.

ee also

*MLwiN (software)

External links

*cite web| title=Harvey Goldstein's home page| url=http://www.cmm.bristol.ac.uk/team/HG_Personal/| accessdate=2008-02-25

References

*
*cite book| first=Harvey | last=Goldstein | title= Multilevel Statistical Models | edition = 3rd edition | year=2003 | publisher = Arnold| city=London | series=Kendall's Library of Statistics |isbn= 0340806559 [http://www.cmm.bristol.ac.uk/team/HG_Personal/multbook1995.pdf Full text of 2nd edition (1995) at author's website]

Источник: Harvey Goldstein

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