Understanding Synthetic Data
University of Manchester (CCSR)
£175 (£125 for those from educational institutions)
This training course will cover approaches to protecting the confidentiality of public use microdata based on multiple imputation, also called synthetic data. Topics will include: overview of common disclosure control methods; motivation for synthetic data; types and examples of synthetic data; analysis methods for synthetic data; generation of synthetic data; disclosure risk assessment for synthetic data and data utility evaluation of synthetic data. Participants will gain an understanding of the benefits and limitations of synthetic data approaches; know of approaches for generating, evaluating and analyzing synthetic data.
Participants are expected to be familiar with statistical modelling at the level of linear and logistic regression analysis. The course emphasizes conceptual understanding and intuitions more than mathematical derivations. The course will include pointers to useful computational tools for implementing synthetic data.
Further information and booking: www.ccsr.ac.uk/courses/syntheticdata/index.html