Statistical Disclosure Control

On Recent Developments in Statistical Disclosure Control Techniques

Disclosure control of microdata sets is an important practical topic for statistical agencies. It is also a very interesting problem for theoretical statisticians from the viewpoint of statistical inference. In recent years some significant theoretical developments have been achieved by a group of Japanese researchers including the author. Here we summarize some of our results.

Method Series, Statistical disclosure control

Statistical Disclosure Control for Survey Data

Statistical disclosure control refers to the methodology used in the design of the statistical outputs from a survey for protecting the confidentiality of respondents’ answers. The threat to confidentiality is assumed to come from a hypothetical intruder who has access to these outputs and seeks to use them to disclose information about a survey respondent. One key concern relates to identity d...

Multiple imputation: an alternative to top coding for statistical disclosure control

Top coding of extreme values of variables like income is a common method of statistical disclosure control, but it creates problems for the data analyst. The paper proposes two alternative methods to top coding for statistical disclosure control that are based on multiple imputation. We show in simulation studies that the multiple-imputation methods provide better inferences of the publicly rel...

Partial cell suppression: A new methodology for statistical disclosure control

Statistical Disclosure Control for Data Privacy Preservation

With the phenomenal change in a way data are collected, stored and disseminated among various data analyst there is an urgent need of protecting the privacy of data. As when individual data get disseminated among various users, there is a high risk of revelation of sensitive data related to any individual, which may violate various legal and ethical issues. Statistical Disclosure Control (SDC) ...