Evolution on the Generation and Analysis of Single Imputation Synthetic Datasets
In today's world, simply using a smartphone leads to the creation of a vast array of data. This
data is automatically saved, and more and more, various organizations, businesses, and …
data is automatically saved, and more and more, various organizations, businesses, and …
Evolution on the Generation and Analysis of Single Imputation Synthetic Datasets in Statistical Disclosure Control
We present an overview of the evolution of single imputation synthetic datasets in Statistical
Disclosure Control (SDC). Imputation is a widely used technique for generating privacy …
Disclosure Control (SDC). Imputation is a widely used technique for generating privacy …
Background on Multiply Imputed Synthetic Datasets
J Drechsler, J Drechsler - … for Statistical Disclosure Control: Theory and …, 2011 - Springer
Abstract In 1993, the Journal of Official Statistics published a special issue on data
confidentiality. Two articles in this volume laid the foundation for the development of multiply …
confidentiality. Two articles in this volume laid the foundation for the development of multiply …
[图书][B] Synthetic datasets for statistical disclosure control: theory and implementation
J Drechsler - 2011 - books.google.com
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 …
to generating multiply imputed synthetic datasets. It describes all approaches that have been …
Generating multiply imputed synthetic datasets: theory and implementation
J Drechsler - 2010 - fis.uni-bamberg.de
The book describes different approaches to generating multiply imputed synthetic datasets
to guarantee confidentiality. Each chapter is dedicated to one approach, first describing the …
to guarantee confidentiality. Each chapter is dedicated to one approach, first describing the …
Examining the robustness of fully synthetic data techniques for data with binary variables
There is a growing demand for public use data while at the same time there are increasing
concerns about the privacy of personal information. One proposed method for …
concerns about the privacy of personal information. One proposed method for …
Using multiple imputation to integrate and disseminate confidential microdata
JP Reiter - International Statistical Review, 2009 - Wiley Online Library
In data integration contexts, two statistical agencies seek to merge their separate databases
into one file. The agencies also may seek to disseminate data to the public based on the …
into one file. The agencies also may seek to disseminate data to the public based on the …
DataSifter II: Partially synthetic data sharing of sensitive information containing time-varying correlated observations
There is a significant public demand for rapid data-driven scientific investigations using
aggregated sensitive information. However, many technical challenges and regulatory …
aggregated sensitive information. However, many technical challenges and regulatory …
Background on Multiple Imputation
J Drechsler, J Drechsler - … for Statistical Disclosure Control: Theory and …, 2011 - Springer
Multiple imputation, introduced by Rubin (1978) and discussed in detail in Rubin (1987;
2004), is an approach that retains the advantages of imputation while allowing the …
2004), is an approach that retains the advantages of imputation while allowing the …
A family of methods for statistical disclosure control
A Quatember, MC Hausner - Journal of Applied Statistics, 2013 - Taylor & Francis
Statistical disclosure control (SDC) is a balancing act between mandatory data protection
and the comprehensible demand from researchers for access to original data. In this paper …
and the comprehensible demand from researchers for access to original data. In this paper …