The module covers methods of disclosure control for tabular data and microdata, and how the utility of the resulting data is traded off against the risk of disclosure.
Pre-requisites: (STAT6093 or STAT6116) and STAT6095
Aims and Objectives
Having successfully completed this module you will be able to:
- Evaluate and critique the different disclosure control methods depending on the type of statistical output (microdata or tabular data) with respect to the amount of protection afforded, and the impact on the quality of both the data and the analyses that can be done with them
- Choose appropriate methods of statistical disclosure control for particular types of data and situations, and apply them by hand in simple situations
- Describe the trade-offs between privacy and openness, and how they affect the choices of policies and procedures surrounding confidentiality protection
- Motivation for Statistical Disclosure Control for statistical outputs
- Measuring and quantifying disclosure risk for tabular data and micro data based on realistic scenarios of risk
- Disclosure control methods for tabular data and micro data
- Measuring and quantifying the impact and the effect of disclosure control methods on the quality of the data
- Introduction to Differential Privacy
- Issues of statistical disclosure control in a Statistical Office responsible for the release of statistical data
Learning and Teaching
Teaching and learning methods
Depending on feasibility, teaching may be delivered face-to-face intensively over a week, or on-line using a mixture of synchronous and asynchronous online methods , which may include lectures, discussion boards, workshop activities, exercises and videos. A range of resources will also be provided for further, self-directed study.
|Total study time||100|
Resources & Reading list
Doyle, P., Lane, J., Theeuwes, J. and Zayatz, L. eds. (2001). Confidentiality, Disclosure and Data Access. Amsterdam: North Holland.
Willenborg, L. and de Waal, T. (2001). Elements of Statistical Disclosure Control. New York: Springer.
This is how we’ll formally assess what you have learned in this module.
This is how we’ll assess you if you don’t meet the criteria to pass this module.
Repeat type: Internal & External