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.

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)

• Introduction.- Background on Multiply Imputed Synthetic Datasets.- Background on Multiple Imputation.- The IAB Establishment Panel.- Multiple Imputation for Nonresponse.- Fully Synthetic Datasets.- Partially Synthetic Datasets.- Multiple Imputation for Nonresponse and Statistical Disclosure Control.- A Two-Stage Imputation Procedure to Balance the Risk-Utility Trade-Off.- Chances and Obstacles for Multiply Imputed Synthetic Datasets.

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.

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)

• Introduction.- Background on Multiply Imputed Synthetic Datasets.- Background on Multiple Imputation.- The IAB Establishment Panel.- Multiple Imputation for Nonresponse.- Fully Synthetic Datasets.- Partially Synthetic Datasets.- Multiple Imputation for Nonresponse and Statistical Disclosure Control.- A Two-Stage Imputation Procedure to Balance the Risk-Utility Trade-Off.- Chances and Obstacles for Multiply Imputed Synthetic Datasets.

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.

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)

• Introduction.- Background on Multiply Imputed Synthetic Datasets.- Background on Multiple Imputation.- The IAB Establishment Panel.- Multiple Imputation for Nonresponse.- Fully Synthetic Datasets.- Partially Synthetic Datasets.- Multiple Imputation for Nonresponse and Statistical Disclosure Control.- A Two-Stage Imputation Procedure to Balance the Risk-Utility Trade-Off.- Chances and Obstacles for Multiply Imputed Synthetic Datasets.