# An innovative randomized response model based on a customizable random tool

**Authors:** Ahmad M. Aboalkhair, Mohammad A. Zayed, Tamer Elbayoumi, Abdullah Alnefaie, Mahmaod Alrawad, Ahmed M. Elshehawey

PMC · DOI: 10.1371/journal.pone.0319780 · PLOS One · 2025-04-18

## TL;DR

This paper introduces a new randomized response model that is more efficient and customizable for privacy protection.

## Contribution

The paper presents a general framework that generates new efficient randomized response models.

## Key findings

- The new model outperforms existing models in efficiency through theoretical and numerical comparisons.
- The model provides strong ethical and privacy protection considerations.

## Abstract

This paper suggests an innovative randomized response model utilizing customizable random tool. The suggested model offers a general framework for some previously pioneering randomized response models and generates new efficient models. Comparison of the efficiency between one of these newly generated models and other groundbreaking models through theoretical and numerical ways, demonstrates higher efficiency for the new generated model. Additionally, ethical considerations and privacy protection of the suggested model are examined.

## Full-text entities

- **Diseases:** MS (MESH:C567878), AK (MESH:D010300), psychiatric (MESH:D001523)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

5 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12007709/full.md

## References

24 references — full list in the complete paper: https://tomesphere.com/paper/PMC12007709/full.md

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Source: https://tomesphere.com/paper/PMC12007709