Statistical perspectives on confidentiality and data access in public health.
Confidentiality and disclosure limitation are topics that are inherently statistical but, until recently, they have received limited attention from statistical methodologists. That situation has changed considerably in the present decade. In this paper, we provide an introduction and overview of some statistical disclosure limitation issues that are of special relevance to public health studies and surveys, and the linkages to current research on bounds for multi-dimensional contingency table entries and 'simulated' categorical data. We also describe how these research methods relate to a new data access query system being developed for use by NCHS and other statistical agencies.
Fienberg
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Department of Statistics, Carnegie Mellon University, Pittsburgh, PA 15213-3890, USA. fienberg@stat.cmu.edu
D003219:Confidentiality; D019992:Databases as Topic / Q000592:standards*; D006801:Humans; D011634:Public Health; D013223:Statistics as Topic / Q000379:methods* / Q000592:standards