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Joerg Drechsler
Joerg Drechsler
Institut für Arbeitsmarkt- und Berufsforschung, University of Maryland
Bestätigte E-Mail-Adresse bei iab.de
Titel
Zitiert von
Zitiert von
Jahr
Synthetic datasets for statistical disclosure control: theory and implementation
J Drechsler
Springer Science & Business Media, 2011
328*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
1732011
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
1072010
Multiple imputation of multilevel missing data—Rigor versus simplicity
J Drechsler
Journal of Educational and Behavioral Statistics 40 (1), 69-95, 2015
1002015
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
842008
Releasing multiply-imputed synthetic data generated in two stages to protect confidentiality
JP Reiter, J Drechsler
Statistica Sinica, 405-421, 2010
702010
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
602009
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
52*2011
Using support vector machines for generating synthetic datasets
J Drechsler
Privacy in Statistical Databases: UNESCO Chair in Data Privacy …, 2010
492010
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
492008
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
332012
Does convergence really matter?
Shalabh, C Heumann, J Drechsler, S Rässler
Recent advances in linear models and related areas: Essays in honour of …, 2008
312008
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
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
212021
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
212016
Differential Privacy for Government Agencies—Are We There Yet?
J Drechsler
Journal of the American Statistical Association 118 (541), 761-773, 2023
202023
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
192018
Biases in multilevel analyses caused by cluster-specific fixed-effects imputation
M Speidel, J Drechsler, JW Sakshaug
Behavior research methods 50 (5), 1824-1840, 2018
192018
R package hmi: a convenient tool for hierarchical multiple imputation and beyond
M Speidel, J Drechsler, S Jolani
IAB-Discussion Paper, 2018
182018
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
172021
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