Statistical Disclosure Control for Microdata

Methods and Applications in R

  • MatthiasĀ Templ

Table of contents

  1. Front Matter
    Pages i-xix
  2. Matthias Templ
    Pages 1-34
  3. Matthias Templ
    Pages 35-48
  4. Matthias Templ
    Pages 49-97
  5. Matthias Templ
    Pages 99-132
  6. Matthias Templ
    Pages 133-156
  7. Matthias Templ
    Pages 157-179
  8. Matthias Templ
    Pages 181-186
  9. Matthias Templ
    Pages 187-260
  10. Back Matter
    Pages 261-287

About this book


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.


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

Authors and affiliations

  • MatthiasĀ Templ
    • 1
  1. 1.Zurich University of Applied Sciences, Department of Statistics, Vienna University of TechnologyWinterthurSwitzerland

Bibliographic information