Two-sample Non Randomized Response Techniques for Sensitive Questions

References

• Gould , A. L. , Shah , B. V. , Abernathy , J. R. ( 1969 ). Unrelated question randomized response techniques with two trials per respondent. Proce. Soc. Statis. Sec. Amer. Statist. Assoc. pp. 351–359 .
   Google Scholar
• Greenberg , B. G. , Horvitz , D. G. , Abernathy , J. R. ( 1974 ). A comparison of randomized response designs . In: Proschan , F. , Serfling , R. J. , eds. Reliab. Biometry: Statist. Anal. Life Length. The Society for Industrial and Applied Mathematics , pp. 787 – 815 .
   Google Scholar
• Horvitz , D. G. , Shah , B. V. , Simmons , W. R. (1967). The unrelated question randomized response model. Proc. Soc. Statist. Sec. Amer. Statist. Assoc. , Washington , DC, December 27–30, pp. 65–72.
   Google Scholar
• Moors , J. J. A. ( 1971 ). Optimization of the unrelated question randomized response model . J. Amer. Statist. Assoc. 66 : 627 – 629 .
   Web of Science ®Google Scholar
• Shieh , G. ( 2000 ). On power and sample size calculations for likelihood ratio tests in generalized linear models . Biometrics 56 : 1192 – 1196 .
   PubMed Web of Science ®Google Scholar
• Tan , M. T. , Tian , G. L. , Tang , M. L. ( 2009 ). Sample surveys with sensitive questions: A non-randomized response approach . Amer. Statistician 63 : 9 – 16 .
   Web of Science ®Google Scholar
• Tang , M. L. , Tian , G. L. , Tang , N. S. , Liu , Z. Q. ( 2009 ). A new non-randomized multi-category response model for surveys with a single sensitive question: Design and analysis . J. Kor. Statist. Soc. 38 : 339 – 349 .
   Web of Science ®Google Scholar
• Tian , G. L. , Tang , M. L. , Liu , Z. Q. , Tang , N. S. ( 2011 ). Sample size determination for the non-randomized triangular model for sensitive questions in a survey . Statist. Meth. Med. Res. 20 ( 3 ): 159 – 173 .
   PubMed Web of Science ®Google Scholar
• Tian , G. L. , Yu , J. W. , Tang , M. L. , Geng , Z. ( 2007 ). A new non-randomized model for analyzing sensitive questions with binary outcomes . Statist. Med. 26 : 4238 – 4252 .
   PubMed Web of Science ®Google Scholar
• Tian , G. L. , Yuen , K. C. , Tang , M. L. , Tan , M. T. ( 2009 ). Bayesian non-randomized response models for survey with sensitive questions . Statist. Interface 2 : 13 – 25 .
   Google Scholar
• Warner , S. L. ( 1965 ). Randomized response: a survey technique for eliminating evasive answer bias . J. Amer. Statist. Assoc. 60 : 63 – 69 .
   PubMed Web of Science ®Google Scholar
• Wiseman , F. , Moriarty , M. , Schafer , M. ( 1975 ). Estimating public opinion with the randomized response model . Public Opin. Quat. 39 : 507 – 513 .
   Web of Science ®Google Scholar
• Yu , J. W. , Tian , G. L. , Tang , M. L. ( 2008 ). Two new models for survey sampling with sensitive characteristic: design and analysis . Metrika 67 : 251 – 263 .
   Web of Science ®Google Scholar
• Color versions of one or more of the figures in the article can be found online at www.tandfonline.com/lsta.
   Google Scholar