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Computational and Mathematical Methods in Medicine
Volume 2015 (2015), Article ID 172918, 6 pages
http://dx.doi.org/10.1155/2015/172918
Research Article

Estimation of Sensitive Proportion by Randomized Response Data in Successive Sampling

1School of Public Health, Medical College, Soochow University, Suzhou 215123, China
2School of Mathematical Sciences, Dezhou University, Dezhou 253023, China
3Department of Public Health, Zhejiang Medical College, Hangzhou 310053, China
4Critical Care Medicine, People’s Hospital of Linshu County, Linyi, Shandong 276700, China

Received 31 October 2014; Revised 22 November 2014; Accepted 5 December 2014

Academic Editor: Yi Gao

Copyright © 2015 Bo Yu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

This paper considers the problem of estimation for binomial proportions of sensitive or stigmatizing attributes in the population of interest. Randomized response techniques are suggested for protecting the privacy of respondents and reducing the response bias while eliciting information on sensitive attributes. In many sensitive question surveys, the same population is often sampled repeatedly on each occasion. In this paper, we apply successive sampling scheme to improve the estimation of the sensitive proportion on current occasion.