Randomized response, statistical disclosure control and misclassification: A review

International Statistical Review

Volumn 70, Issue 2, 2002, Pages 269-288

  Van den Hout, Ardo ^a   Van der Heijden, Peter G M ^a  

^a UTRECHT UNIVERSITY   (Netherlands)

Author keywords

Contingency table; EM algorithm; Misclassification; Odds ratio; Randomized response; Sensitivity; Specificity; Statistical disclosure control

Indexed keywords

EID: 0036678198     PISSN: 03067734     EISSN: None     Source Type: Journal    
DOI: 10.2307/1403910     Document Type: Review

References (34)

1. Exponential families
2. Estimating proportions from randomized response data using the EM algorithm
3. A review of methods for misclassified categorical data in epidemiology
4. Bias due to misclassification in the estimation of relative risk
5. Maximum likelihood from incomplete data via the EM algorithm
6. Post randomisation for statistical disclosure control: Theory and implementation
7. The effect of misclassification in the presence of covariates
8. Variance estimation for epidemiologic effect estimates under misclassification
9. Categorical data analysis and misclassification
10. Asking sensitive questions indirectly
11. An iterative technique for the rectification of observed distributions
12. Logistic regression when the outcome is measured with uncertainty
13. Categorical data analysis by a randomized response technique for statistical disclosure control
14. Inference and missing data
15. The neglected problem of measurement error in categorical data
16. A note on RR techniques
17. A comparison of randomized response, computer-assisted self-interview, and face-to-face direct questioning
18. Randomized response: A survey technique for eliminating answer bias
19. The linear randomized response model
20. Optimality models for PRAM