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What are the objectives of a course designed to ensure statistical reliability and
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privacy compliance in public health reporting?
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The course explains the policy and its guidelines for detecting and resolving confidentiality and reliability issues.
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The policy’s objective is to correct any issues present in data reports prior to their public release.
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I will start with a brief overview of the development of the SN policy and
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its roll out phase and then describe its main implications.
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I will not spend much time on the technical details of the model or on its development
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as this course emphasizes the application rather than the theoretical side of the policy.
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It is my hope that the strategies presented here can be of assistance in your reporting.
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The third section covers basic statistical concepts related to
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the reliability measure selected for the policy.
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There is a self-assessment exercise in the next section followed by a visual synopsis
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of the simulation behind the statistical model and the reliability guideline.
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The policy considers suppression only as a last recourse.
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Section 5 discusses how to identify potential exclusions, assess their extent,
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and reconfigure statistics not meeting policy guidelines.
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The sources of privacy breaches and estimate instability are discussed in sections 6 and 7.
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We will spend most of this course in the two Case Study sections,
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solving privacy and reliability issues using real reporting scenarios.
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I will introduce examples on how to reconfigure reports early in the course and
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gradually build up on previous demonstrations as we move along.
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The section on Reconfiguration sums up the strategies from previous sections and
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expands their discussion to metrics specific to time aggregations and statistical methods.
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The last section contains frequently asked questions about the application of the Small Numbers policy.
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These questions can also be used as a self-assessment tool.
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A few words on course logistics.
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There are several resources and materials available for this class including the policy itself,
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its implementation guide, and an Excel tool to calculate RSEs.
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The slide presentation is also available.
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All the course materials are available in pdf format.
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Section 4 contains Self-Assessment questions and technical notes on the
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statistical concepts of the policy and provides a visual overview of the SN simulation.
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An entire section is dedicated to Frequently Asked Questions about the policy.
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This is covered in the last section of the course.
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The course content is available in single-video format, and in separate sections.
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The case studies of sections 8 and 9 can be accessed through separate modules.
