Quantifying the Information from a Randomized Response
by by Andrew A. Neath.
Randomized response is a method designed for obtaining usable data
on sensitive issues while protecting the privacy of those
surveyed. Textbooks on introductory statistics, mathematical
statistics, and sampling theory, among others, include examples of
these techniques. But the impression that a randomized response
completely hides sensitive information about the respondent is
incorrect. In this paper, we look to analyze the information on a
respondent divulged from such a survey.
survey sampling, relative risk, Bayesian analysis
Andrew A. Neath, email@example.com
Richard G. Graf,firstname.lastname@example.org
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