The logistic regression model with response variables subject to randomized response

DOI10.1016/J.CSDA.2006.12.002zbMath1445.62198OpenAlexW2026473890MaRDI QIDQ1020709

Ardo van den Hout, Robert Gilchrist, Peter G. M. van der Heijden

Publication date: 2 June 2009

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: http://dspace.library.uu.nl/handle/1874/44722

zbMATH Keywords

randomized responsemisclassificationsensitive questionsmultivariate and univariate logistic regressionregulatory non-compliance

Mathematics Subject Classification ID

Generalized linear models (logistic models) (62J12)

Related Items (8)

A new variant of the parallel regression model with variable selection in surveys with sensitive attribute ⋮ A covariate nonrandomized response model for multicategorical sensitive variables ⋮ Logistic regression analysis of randomized response data with missing covariates ⋮ New scrambled response models for estimating the mean of a sensitive quantitative character ⋮ Logistic regression analyses for indirect data ⋮ An alternative to unrelated randomized response techniques with logistic regression analysis ⋮ Using prior information in privacy-protecting survey designs for categorical sensitive variables ⋮ Logistic regression analysis of non‐randomized response data collected by the parallel model in sensitive surveys

Uses Software

• R
• GLIM
• Fahrmeir

Cites Work

• Marginal models for categorical data
• Item randomized-response models for measuring noncompliance: risk-return perceptions, social influences, and self-protective responses
• Randomized Response: A Survey Technique for Eliminating Evasive Answer Bias
• Asking sensitive questions indirectly
• Multivariate statistical modelling based on generalized linear models.
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