Tan, M. T., Tang, M.-L., Tian, G.-L. & Yuen, K. C. Bayesian non-randomized response models for surveys with sensitive questions. Statistics and its interface 2, 13–25 (2009).

Coutts, E. & Jann, B. Sensitive questions in online surveys: Experimental results for the randomized response technique (RRT) and the unmatched count technique (UCT). Sociological Methods & Research 40, 169–193 (2011).

Singh, H. P. & Tarray, T. A. A dexterous randomized response model for estimating a rare sensitive attribute using Poisson distribution. Statistics & Probability Letters 90, 42–45 (2014).

Yan, T. Consequences of asking sensitive questions in surveys. Annual Review of Statistics and Its Application 8, 109–127 (2021).

Kowalczyk, B., Niemiro, W. & Wieczorkowski, R. Item count technique with a continuous or count control variable for analyzing sensitive questions in surveys. Journal of Survey Statistics and Methodology 11, 919–941 (2023).

Liu, Y., Ji, P. & Wu, G. Application of Joint Ratio Estimation Method in Investigation of Sensitive Issue. Statistics & Decision 40, 41–45 (2024).

Zang, L., wang, D. & Zhang, J. Sensitive Issues in Social Science Research: Judging Features and Handling Methods. Study ＆ Exploration 36-42+186 (2023).

Wang, P. & Ji, C. List Experiment in Measuring Sensitive Issue—Example from Non-institutionalized Political Participation. China Soft Science 9, 135–143 (2016).

Watimin, N. H., Zanuddin, H., Rahamad, M. S. & Yadegaridehkordi, E. Content framing role on public sentiment formation for pre-crisis detection on sensitive issue via sentiment analysis and content analysis. Plos one 18, e0287367 (2023).

Wolter, F. & Diekmann, A. False positives and the "more-is-better" assumption in sensitive question research: new evidence on the Crosswise Model and the Item Count Technique. Public Opinion Quarterly 85, 836–863 (2021).