A survey design for a sensitive binary variable correlated with another nonsensitive binary variable
DOI10.1155/2013/827048zbMath1318.62333OpenAlexW2003945006WikidataQ59021464 ScholiaQ59021464MaRDI QIDQ361600
Guo-Liang Tian, Jun-Wu Yu, Yang Lu
Publication date: 29 August 2013
Published in: Journal of Probability and Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1155/2013/827048
Applications of statistics to biology and medical sciences; meta analysis (62P10) Measures of association (correlation, canonical correlation, etc.) (62H20) Sampling theory, sample surveys (62D05) Measurement and performance in psychology (91E45) Theory of questionnaires (94A50)
Related Items (1)
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Two new models for survey sampling with sensitive characteristic: design and analysis
- Randomized response technique for two sensitive characteristics at the same time
- Multi-category parallel models in the design of surveys with sensitive questions
- Grouped Dirichlet distribution: A new tool for incomplete categorical data analysis
- A new non-randomized multi-category response model for surveys with a single sensitive question: design and analysis
- Randomized Response: A Survey Technique for Eliminating Evasive Answer Bias
- Dirichlet and Related Distributions
- The Calculation of Posterior Distributions by Data Augmentation
- Some New Results on the Multinomial Randomized Response Model
- Models for Three-Dimensional Contingency Tables with Completely and Partially Cross-Classified Data
- Unconditional small-sample confidence intervals for the odds ratio
- Tools for statistical inference. Methods for the exploration of posterior distributions and likelihood functions.
This page was built for publication: A survey design for a sensitive binary variable correlated with another nonsensitive binary variable