Multiple Imputation for Disclosure Limitation: Future Research Challenges
نویسندگان
چکیده
منابع مشابه
Multiple Imputation for Disclosure Limitation: Future Research Challenges
Statistical agencies that disseminate data to the public are ethically and often legally required to protect the confidentiality of respondents’ identities and sensitive attributes. To satisfy these requirements, Rubin (1993), Little (1993), and Fienberg (1994) proposed that agencies utilize multiple imputation. For example, agencies can release the units originally surveyed with some values, s...
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Disclosure limitation is an important consideration in the release of public use data sets. It is particularly challenging for longitudinal data sets, since information about an individual accumulates with repeated measures over time. Research on disclosure limitation methods for longitudinal data has been very limited. We consider here problems created by high ages in cohort studies. Because o...
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Data products (macrodata or tabular data and microdat a or raw data records), are designed to inform public or bus iness policy, and research or public information. Securi ng these products against unauthorized acces ses has been a long-term goal of the database security research comm unity and the government statistical agencies. Solutions t o this problem require combining several techniques ...
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ژورنال
عنوان ژورنال: Journal of Privacy and Confidentiality
سال: 2010
ISSN: 2575-8527
DOI: 10.29012/jpc.v1i2.575