Literature DB >> 11343356

Statistical perspectives on confidentiality and data access in public health.

S E Fienberg1.   

Abstract

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. Copyright 2001 John Wiley & Sons, Ltd.

Mesh:

Year:  2001        PMID: 11343356     DOI: 10.1002/sim.672

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  2 in total

1.  Using binning to maintain confidentiality of medical data.

Authors:  Zhen Lin; Michael Hewett; Russ B Altman
Journal:  Proc AMIA Symp       Date:  2002

2.  Selecting Optimal Subset to release under Differentially Private M-estimators from Hybrid Datasets.

Authors:  Meng Wang; Zhanglong Ji; Hyeon-Eui Kim; Shuang Wang; Li Xiong; Xiaoqian Jiang
Journal:  IEEE Trans Knowl Data Eng       Date:  2017-11-14       Impact factor: 6.977

  2 in total

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