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A new non-randomized multi-category response model for surveys with a single sensitive question: Design and analysis
Man Lai Tang
, Guo Liang Tian
, Nian Sheng Tang
, Zhenqiu Liu
Department of Public Health Sciences
Division of Biostatistics and Bioinformatics
Penn State Cancer Institute
Cancer Institute, Next-Generation Therapies
Research output
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Contribution to journal
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Article
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peer-review
19
Scopus citations
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Dive into the research topics of 'A new non-randomized multi-category response model for surveys with a single sensitive question: Design and analysis'. Together they form a unique fingerprint.
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Keyphrases
Multicategory
100%
Response Model
100%
Sensitive Questions
100%
Question Design
100%
Question Analysis
100%
Maximum Likelihood Estimation
66%
Simulation Study
33%
Non-sensitive
33%
Sexual Behavior
33%
Confidence Interval
33%
Privacy Policy
33%
Multiple Outcomes
33%
Cost Reduction
33%
Data Augmentation
33%
Proposed Design
33%
Bayesian Estimation
33%
Randomized Response
33%
Survey Questions
33%
Confidence Interval Estimation
33%
Sensitive Surveys
33%
Korean Adolescents
33%
Mathematics
Response Model
100%
Probability Theory
66%
Maximum Likelihood Estimate
66%
Closed Form
33%
Simulation Study
33%
Confidence Interval
33%
Real Data
33%
Randomized Response
33%
Bayesian Estimation
33%
Confidence Interval Estimate
33%
Model Category
33%