Pages that link to "Item:Q1020709"
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The following pages link to The logistic regression model with response variables subject to randomized response (Q1020709):
Displaying 15 items.
- An alternative to unrelated randomized response techniques with logistic regression analysis (Q513767) (← links)
- A new variant of the parallel regression model with variable selection in surveys with sensitive attribute (Q830681) (← links)
- Estimating the linear regression model with categorical covariates subject to randomized response (Q959412) (← links)
- A covariate nonrandomized response model for multicategorical sensitive variables (Q1658990) (← links)
- Randomized response and the binary probit model (Q1927740) (← links)
- Using prior information in privacy-protecting survey designs for categorical sensitive variables (Q2254744) (← links)
- Logistic regression analysis of randomized response data with missing covariates (Q2655053) (← links)
- Accounting for non-compliance in the analysis of randomized response data (Q2802742) (← links)
- Estimating false positive and false negative error rates using logistic regression (Q2863752) (← links)
- Logistic Randomized Response Model (Q3079403) (← links)
- The Analysis of Randomized Response Sum Score Variables (Q3631442) (← links)
- New scrambled response models for estimating the mean of a sensitive quantitative character (Q5123662) (← links)
- Logistic regression analyses for indirect data (Q5154043) (← links)
- Logistic regression analysis of non‐randomized response data collected by the parallel model in sensitive surveys (Q5229964) (← links)
- A Review of Regression Procedures for Randomized Response Data, Including Univariate and Multivariate Logistic Regression, the Proportional Odds Model and Item Response Model, and Self-Protective Responses (Q5272700) (← links)
