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The Linear Randomized Response Model
Abstract
A general linear randomized response model is established with estimates and variances obtained through analogy with familiar linear regression models. All existing randomized response procedures are shown to be special cases of this more general model. Some competing procedures are suggested by the applicability of the model for multivariate mixes of randomized and non-randomized response using either discrete or continuous random variables. Some additional applications are suggested by the applicability of the model for situations where the data have already been collected by some agency but where there are disclosure restrictions.
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Cited by
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Machanavajjhala, A., Kifer, D., Gehrke, J., & Venkitasubramaniam, M. (2007) · ACM Transactions on Knowledge Discovery from Data · doi:10.1145/1217299.1217302 · Cited by 3,617
L-diversity: privacy beyond k-anonymity
Machanavajjhala, A., Gehrke, J., Kifer, D., & Venkitasubramaniam, M. (2006) · 22nd International Conference on Data Engineering (ICDE'06) · doi:10.1109/icde.2006.1 · Cited by 2,362
Metadata
- Authors
- Warner, S. L.
- Venue
- Journal of the American Statistical Association
- Publisher
- Informa UK Limited
- Published
- 1971-12
- Volume
- 66
- Issue
- 336
- Pages
- 884-888
- ISSN
- 0162-1459 (ISSN-L)
- 1537-274X
- OpenAlex
- W2170351346
- Cited by
- 190
- References
- 0
- FWCI
- 2.74
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: The Linear Randomized Response Model. https://app.cochat.ai/papers/10.1080/01621459.1971.10482364
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- Warner, S. L. (1971). The Linear Randomized Response Model. Journal of the American Statistical Association. https://doi.org/10.1080/01621459.1971.10482364
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.