Statistical Disclosure Control for Microdata
Methods and Applications in R
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Beschreibung
This book on statistical disclosure control presents the theory, applications and software implementation of the traditional approach to (micro)data anonymization, including data perturbation methods, disclosure risk, data utility, information loss and methods for simulating synthetic data. Introducing readers to the R packages sdcMicro and simPop, the book also features numerous examples and exercises with solutions, as well as case studies with real-world data, accompanied by the underlying R code to allow readers to reproduce all results.
The demand for and volume of data from surveys, registers or other sources containing sensible information on persons or enterprises have increased significantly over the last several years. At the same time, privacy protection principles and regulations have imposed restrictions on the access and use of individual data. Proper and secure microdata dissemination calls for the application of statistical disclosure control methods to the dat
a before release.This book is intended for practitioners at statistical agencies and other national and international organizations that deal with confidential data. It will also be interesting for researchers working in statistical disclosure control and the health sciences.
This book on statistical disclosure control presents the theory, applications and software implementation of the traditional approach to (micro)data anonymization, including data perturbation methods, disclosure risk, data utility, information loss and methods for simulating synthetic data. Introducing readers to the R packages sdcMicro and simPop, the book also features numerous examples and exercises with solutions, as well as case studies with real-world data, accompanied by the underlying R code to allow readers to reproduce all results.
The demand for and volume of data from surveys, registers or other sources containing sensible information on persons or enterprises have increased significantly over the last several years. At the same time, privacy protection principles and regulations have imposed restrictions on the access and use of individual data. Proper and secure microdata dissemination calls for the application of statistical disclosure control methods to the da
ta before release.
This book is intended for practitioners at statistical agencies and other national and international organizations that deal with confidential data. It will also be interesting for researchers working in statistical disclosure control and the health sciences.
Introduces the theory, applications and software implementation of statistical disclosure control methods and synthetic data generation Features numerous examples, exercises with solutions, and case studies with real data sets Provides the underlying R code, equipping readers to reproduce all results Serves as a primary course-book for world-wide training courses on statistical disclosure control Includes supplementary material: sn.pub/extras
Autor*in
Matthias Templ
Themen in »Statistical Disclosure Control for Microdata«
62D99, 62D05, 62-07, 62J05, 62P25 statistical disclosure control microdata disclosure risk information loss methods for data perturbation data anonymization synthetic data data utility case studies and applications in R R package sdcMicro R package simPop