New Randomised Response Models for Two Sensitive Characteristics: Theory and Application

Article Social Sciences, Mathematical Methods

A Theory of Higher Order Interactions Between Sensitive Variables: Empirical Evidences and an Application to a Variety of Smoking

Oluwaseun L. Olanipekun et al.

Summary: Randomized response models are considered the best technique for surveys involving sensitive characteristics as they provide maximum privacy protection and honest responses. However, there is a lack of research on higher order interactions between these characteristics. In this article, a new theory based on three proposed randomized response models is developed, and unbiased estimators and variance expressions are introduced. The models are compared and the most efficient one is applied to study smoking habits and interactions among students.

SOCIOLOGICAL METHODS & RESEARCH (2023)

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Article

Estimation of odds ratio, attributable risk, relative risk, correlation coefficient and other parameters using randomized response techniques

Cheon-Sig Lee et al.

Behaviormetrika (2021)

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Article Mathematical & Computational Biology

Two sensitive characteristics and their overlap with two questions per card

Tonghui Xu et al.

Summary: This paper introduces a unique unrelated question randomized response model that protects the privacy of respondents. The study develops estimators for the prevalence of sensitive characteristics and verifies their variances, as well as discussing estimators for conditional proportions, relative risks, and correlation coefficients. Additionally, a real data application highlights the importance of using the proposed model in medical and social science research.

BIOMETRICAL JOURNAL (2021)

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Article Statistics & Probability