Lecture Notes in Statistics

Synthetic Datasets for Statistical Disclosure Control

Theory and Implementation

Authors: Drechsler, Jörg

  • Is the first book that fully covers all different approaches to generating multiply imputed synthetic datasets
  • Combination of theory and practical implementation issues makes it appealing to the researcher and the practitioner alike 
  • Obtaining access to real datasets which is already burdensome for researchers will become more and more complicated in the future, due to rising confidentiality concerns. Dissemination strategies, like generating synthetic datasets, which allow the release of data with high analytical validity while guaranteeing the confidentiality of the respondent, are greatly needed
  • Addresses problems of trying to find ways to benefit society by releasing microdata that simultaneously preserve individuals’ confidential information and yet allow valid inferences at some level of detail
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eBook $109.00
price for USA (gross)
  • ISBN 978-1-4614-0326-5
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $139.00
price for USA
  • ISBN 978-1-4614-0325-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
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About this book

The aim of this book is to give the reader a detailed introduction to the different approaches to generating multiply imputed synthetic datasets. It describes all approaches that have been developed so far, provides a brief history of synthetic datasets, and gives useful hints on how to deal with real data problems like nonresponse, skip patterns, or logical constraints.

Each chapter is dedicated to one approach, first describing the general concept followed by a detailed application to a real dataset providing useful guidelines on how to implement the theory in practice.

The discussed multiple imputation approaches include imputation for nonresponse, generating fully synthetic datasets, generating partially synthetic datasets, generating synthetic datasets when the original data is subject to nonresponse, and a two-stage imputation approach that helps to better address the omnipresent trade-off between analytical validity and the risk of disclosure.

The book concludes with a glimpse into the future of synthetic datasets, discussing the potential benefits and possible obstacles of the approach and ways to address the concerns of data users and their understandable discomfort with using data that doesn’t consist only of the originally collected values. 

The book is intended for researchers and practitioners alike. It helps the researcher to find the state of the art in synthetic data summarized in one book with full reference to all relevant papers on the topic. But it is also useful for the practitioner at the statistical agency who is considering the synthetic data approach for data dissemination in the future and wants to get familiar with the topic.

About the authors

Jörg Drechsler is a Research Scientist at the German Institute for Employment Research, Department for Statistical Methods. His main areas of research involve statistical disclosure control and imputation with published papers in JASA, Statistica Sinica, JOS, and Survey Methodology.

Reviews

From the reviews:

“This book explores … the generation of synthetic data with the same statistical properties as the original data, but containing different records. … It also addresses complications which arise with real data, such as missing values. The book provides an excellent overview of the area, and would make ideal reading for anyone new to the issues, as well as serving as a good source book describing technical details.” (David J. Hand, International Statistical Review, Vol. 80 (3), 2012)


Buy this book

eBook $109.00
price for USA (gross)
  • ISBN 978-1-4614-0326-5
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $139.00
price for USA
  • ISBN 978-1-4614-0325-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Synthetic Datasets for Statistical Disclosure Control
Book Subtitle
Theory and Implementation
Authors
Series Title
Lecture Notes in Statistics
Series Volume
201
Copyright
2011
Publisher
Springer-Verlag New York
Copyright Holder
Springer Science+Business Media, LLC
eBook ISBN
978-1-4614-0326-5
DOI
10.1007/978-1-4614-0326-5
Softcover ISBN
978-1-4614-0325-8
Series ISSN
0930-0325
Edition Number
1
Number of Pages
XX, 138
Number of Illustrations and Tables
19 b/w illustrations
Topics