- The Multiple Adaptations of Multiple Imputation Jerome P. Reiter and Trivellore E. Raghunathan
- Secure Regression on Distributed Databases Alan F. KARR, Xiaodong LIN, Ashish P. SANIL, and Jerome P. REITER
- Privacy Preserving Regression Modelling Via Distributed Computation
- Data Dissemination and Disclosure Limitation in a World Without Microdata
- Borrowing Strength When Explicit Data Pooling Is Prohibited Jerome P. Reiter, Williams College
- Small-sample degrees of freedom for multi-component significance tests with multiple
- Satisfying Disclosure Restrictions With Synthetic Data Sets
- Estimating Risks of Identification Disclosure in Microdata Jerome P. REITER
- Selecting the Number of Imputed Datasets When Using Multiple Imputation for Missing Data and Disclosure Limitation
- 12 VOL. 17, NO. 3, 2004 Many national statistical agencies and survey organi-
- 2005 Royal Statistical Society 09641998/05/168185 J. R. Statist. Soc. A (2005)
- A Framework for Evaluating the Utility of Data Altered to Protect Confidentiality
- ARTICLE IN PRESS Journal of Statistical Planning and
- Adjusting Survey Weights When Altering Identifying Design Variables Via Synthetic Data
- Journal of Statistical Computation and Simulation Vol. 00, No. 0, Month 2004, pp. 115
- Many scientific and policy investigations require statisti-cal analyses that "integrate" data stored in multiple,
- Secure Statistical Analysis of Distributed Databases Alan F. Karr, Xiaodong Lin, Ashish P. Sanil
- Secure computation with horizontally partitioned data using adaptive regression
- Using Statistics to Determine Causal Relationships Jerome P. Reiter
- A comparison of experimental and
- The Importance of Modeling the Sampling Design in Multiple Imputation for Missing Data
- ANALYTICAL MODELING IN COMPLEX SURVEYS OF WORK PRACTICES
- Simultaneous Use of Multiple Imputation for Missing Data and Disclosure Limitation
