Disclosure control and data dissemination
Results
All (14)
All (14) (0 to 10 of 14 results)
- Stats in brief: 89-20-00082021001Description: This video is part of the confidentiality vetting support series and presents examples of how to use SAS to perform the dominance and homogeneity test while using the Census.Release date: 2022-04-29
- Stats in brief: 89-20-00082021002Description: This video is part of the confidentiality vetting support series and presents examples of how to use SAS to create proportion output for researchers working with confidential data.Release date: 2022-04-27
- Stats in brief: 89-20-00082021003Description: This video is part of the confidentiality vetting support series and presents examples of how to use Stata to create proportion output for researchers working with confidential data.Release date: 2022-04-27
- Stats in brief: 89-20-00082021004Description: This video is part of the confidentiality vetting support series and presents examples of how to use Stata to perform the dominance and homogeneity test while using the Census.Release date: 2022-04-27
- Stats in brief: 89-20-00082021005Description: This video is part of the confidentiality vetting support series and presents examples of how to use R to create proportion output for researchers working with confidential data.Release date: 2022-04-27
- Stats in brief: 89-20-00082021006Description: This video is part of the confidentiality vetting support series and presents examples of how to use R to perform the dominance and homogeneity test while using the Census.Release date: 2022-04-27
- Articles and reports: 12-001-X202100100003Description:
One effective way to conduct statistical disclosure control is to use scrambled responses. Scrambled responses can be generated by using a controlled random device. In this paper, we propose using the sample empirical likelihood approach to conduct statistical inference under complex survey design with scrambled responses. Specifically, we propose using a Wilk-type confidence interval for statistical inference. Our proposed method can be used as a general tool for inference with confidential public use survey data files. Asymptotic properties are derived, and the limited simulation study verifies the validity of theory. We further apply the proposed method to some real applications.
Release date: 2021-06-24 - 8. Exploring Canada’s Open Government Portal ArchivedArticles and reports: 11-522-X201700014721Description:
Open data is becoming an increasingly important expectation of Canadians, researchers, and developers. Learn how and why the Government of Canada has centralized the distribution of all Government of Canada open data through Open.Canada.ca and how this initiative will continue to support the consumption of statistical information.
Release date: 2016-03-24 - 9. Creation of public use micro-data files for the National Survey on Drug Use and Health (NSDUH) ArchivedArticles and reports: 11-522-X200600110433Description:
The process of public-use micro-data files creation involves a number of components. One of its key elements is RTI International's innovative MASSC methodology. However, there are other major components in this process such as treatment of non-core identifying variables and extreme outcomes for extra protection. The statistical disclosure limitation is designed to counter both inside and outside intrusion. The components of the process are accordingly designed.
Release date: 2008-03-17 - 10. Providing spatial data for secondary analysis: issues and current practices relating to confidentiality ArchivedArticles and reports: 11-522-X20050019433Description:
Spatially explicit data pose a series of opportunities and challenges for all the actors involved in providing data for long-term preservation and secondary analysis - the data producer, the data archive, and the data user.
Release date: 2007-03-02
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Analysis (14)
Analysis (14) (0 to 10 of 14 results)
- Stats in brief: 89-20-00082021001Description: This video is part of the confidentiality vetting support series and presents examples of how to use SAS to perform the dominance and homogeneity test while using the Census.Release date: 2022-04-29
- Stats in brief: 89-20-00082021002Description: This video is part of the confidentiality vetting support series and presents examples of how to use SAS to create proportion output for researchers working with confidential data.Release date: 2022-04-27
- Stats in brief: 89-20-00082021003Description: This video is part of the confidentiality vetting support series and presents examples of how to use Stata to create proportion output for researchers working with confidential data.Release date: 2022-04-27
- Stats in brief: 89-20-00082021004Description: This video is part of the confidentiality vetting support series and presents examples of how to use Stata to perform the dominance and homogeneity test while using the Census.Release date: 2022-04-27
- Stats in brief: 89-20-00082021005Description: This video is part of the confidentiality vetting support series and presents examples of how to use R to create proportion output for researchers working with confidential data.Release date: 2022-04-27
- Stats in brief: 89-20-00082021006Description: This video is part of the confidentiality vetting support series and presents examples of how to use R to perform the dominance and homogeneity test while using the Census.Release date: 2022-04-27
- Articles and reports: 12-001-X202100100003Description:
One effective way to conduct statistical disclosure control is to use scrambled responses. Scrambled responses can be generated by using a controlled random device. In this paper, we propose using the sample empirical likelihood approach to conduct statistical inference under complex survey design with scrambled responses. Specifically, we propose using a Wilk-type confidence interval for statistical inference. Our proposed method can be used as a general tool for inference with confidential public use survey data files. Asymptotic properties are derived, and the limited simulation study verifies the validity of theory. We further apply the proposed method to some real applications.
Release date: 2021-06-24 - 8. Exploring Canada’s Open Government Portal ArchivedArticles and reports: 11-522-X201700014721Description:
Open data is becoming an increasingly important expectation of Canadians, researchers, and developers. Learn how and why the Government of Canada has centralized the distribution of all Government of Canada open data through Open.Canada.ca and how this initiative will continue to support the consumption of statistical information.
Release date: 2016-03-24 - 9. Creation of public use micro-data files for the National Survey on Drug Use and Health (NSDUH) ArchivedArticles and reports: 11-522-X200600110433Description:
The process of public-use micro-data files creation involves a number of components. One of its key elements is RTI International's innovative MASSC methodology. However, there are other major components in this process such as treatment of non-core identifying variables and extreme outcomes for extra protection. The statistical disclosure limitation is designed to counter both inside and outside intrusion. The components of the process are accordingly designed.
Release date: 2008-03-17 - 10. Providing spatial data for secondary analysis: issues and current practices relating to confidentiality ArchivedArticles and reports: 11-522-X20050019433Description:
Spatially explicit data pose a series of opportunities and challenges for all the actors involved in providing data for long-term preservation and secondary analysis - the data producer, the data archive, and the data user.
Release date: 2007-03-02
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