| Synthetic datasets for statistical disclosure control: theory and implementation J Drechsler Springer Science & Business Media, 2011 | 354* | 2011 |
| An empirical evaluation of easily implemented, nonparametric methods for generating synthetic datasets J Drechsler, JP Reiter Computational Statistics & Data Analysis 55 (12), 3232-3243, 2011 | 191 | 2011 |
| Sampling with synthesis: A new approach for releasing public use census microdata J Drechsler, JP Reiter Journal of the American Statistical Association 105 (492), 1347-1357, 2010 | 116 | 2010 |
| Multiple imputation of multilevel missing data—Rigor versus simplicity J Drechsler Journal of Educational and Behavioral Statistics 40 (1), 69-95, 2015 | 105 | 2015 |
| A new approach for disclosure control in the IAB establishment panel—multiple imputation for a better data access J Drechsler, A Dundler, S Bender, S Rässler, T Zwick AStA Advances in Statistical Analysis 92, 439-458, 2008 | 83 | 2008 |
| Releasing multiply-imputed synthetic data generated in two stages to protect confidentiality JP Reiter, J Drechsler Statistica Sinica, 405-421, 2010 | 73 | 2010 |
| Disclosure risk and data utility for partially synthetic data: An empirical study using the German IAB Establishment Survey J Drechsler, JP Reiter Journal of Official Statistics 25 (4), 589-603, 2009 | 67 | 2009 |
| Multiple imputation in practice—a case study using a complex German establishment survey J Drechsler AStA Advances in Statistical Analysis 95 (1), 1-26, 2011 | 53* | 2011 |
| Using support vector machines for generating synthetic datasets J Drechsler Privacy in Statistical Databases: UNESCO Chair in Data Privacy …, 2010 | 51 | 2010 |
| Accounting for intruder uncertainty due to sampling when estimating identification disclosure risks in partially synthetic data J Drechsler, JP Reiter Privacy in Statistical Databases: UNESCO Chair in Data Privacy International …, 2008 | 50 | 2008 |
| New data dissemination approaches in old Europe–synthetic datasets for a German establishment survey J Drechsler Journal of Applied Statistics 39 (2), 243-265, 2012 | 35 | 2012 |
| Does convergence really matter? Shalabh, C Heumann, J Drechsler, S Rässler Recent advances in linear models and related areas: Essays in honour of …, 2008 | 31 | 2008 |
| Differential privacy for government agencies—are we there yet? J Drechsler Journal of the American Statistical Association 118 (541), 761-773, 2023 | 28 | 2023 |
| Beat the heap: An imputation strategy for valid inferences from rounded income data J Drechsler, H Kiesl Journal of Survey Statistics and Methodology 4 (1), 22-42, 2016 | 24 | 2016 |
| Synthesizing geocodes to facilitate access to detailed geographical information in large-scale administrative data J Drechsler, J Hu Journal of Survey Statistics and Methodology 9 (3), 523-548, 2021 | 23 | 2021 |
| Remote data access and the risk of disclosure from linear regression: An empirical study P Bleninger, J Drechsler, G Ronning Privacy in Statistical Databases: UNESCO Chair in Data Privacy …, 2010 | 23* | 2010 |
| Synthetic microdata for establishment surveys under informative sampling HJ Kim, J Drechsler, KJ Thompson Journal of the Royal Statistical Society Series A: Statistics in Society 184 …, 2021 | 21 | 2021 |
| R package hmi: A convenient tool for hierarchical multiple imputation and beyond M Speidel, J Drechsler, S Jolani IAB-Discussion Paper, 2018 | 21 | 2018 |
| Nonparametric differentially private confidence intervals for the median J Drechsler, I Globus-Harris, A Mcmillan, J Sarathy, A Smith Journal of Survey Statistics and Methodology 10 (3), 804-829, 2022 | 20 | 2022 |
| Statistical matching as a supplement to record linkage: a valuable method to tackle nonconsent bias? J Gessendorfer, J Beste, J Drechsler, JW Sakshaug Journal of official statistics 34 (4), 909-933, 2018 | 20 | 2018 |
