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Disclosure Control using Partially Synthetic Data for Large-Scale Health Surveys, with Applications to CanCORS
Statistical agencies have begun to partially synthesize public-use data for major surveys to protect the confidentiality of respondents’ identities and sensitive attributes, by replacing high disclosure risk and sensitive variables with multiple imputations. To date, there are few applications of sy...
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| Principais autores: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2013
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3869901/ https://ncbi.nlm.nih.gov/pubmed/23670983 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.5841 |
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