Examining the robustness of fully synthetic data techniques for data with binary variables

Journal of Statistical Computation and Simulation

Volumn 80, Issue 6, 2010, Pages 609-624

  Matthews, Gregory J ^a   Harel, Ofer ^a   Aseltine, Robert H ^b  

^a UNIVERSITY OF CONNECTICUT   (United States)

^b UNIVERSITY OF CONNECTICUT HEALTH CENTER   (United States)

Author keywords

Confidentiality; Disclosure limitation; Multiple imputation; Synthetic data

Indexed keywords

EID: 77951988339     PISSN: 00949655     EISSN: 15635163     Source Type: Journal    
DOI: 10.1080/00949650902744438     Document Type: Article

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