The logistic regression model with response variables subject to randomized response

The logistic regression model with response variables subject to randomized response

The univariate andmultivariate logistic regressionmodel is discussedwhere response variables are subject to randomized response (RR). RR is an interview technique that can be usedwhen sensitive questions have to be asked and respondents are reluctant to answer directly. RR variables may be described as misclassified categorical variables where conditional misclassification probabilities are kno...

Logistic Regression with Variables Subject to Post Randomization Method

An increase in quality and detail of publicly available databases increases the risk of disclosure of sensitive personal information contained in such databases. The goal of Statistical Disclosure Control (SDC) is to develop methodology that aims at minimizing disclosure risk while providing society with as much information as possible needed for valid statistical inference. The Post Randomizat...

Estimating the linear regression model with categorical covariates subject to randomized response

The maximum likelihood estimation of the iid normal linear regression model where some of the covariates are subject to randomized response is discussed. Randomized response (RR) is an interview technique that can be used when sensitive questions have to be asked and respondents are reluctant to answer directly. RR variables are described as misclassified categorical variables where conditional...

Extensive Study of Logistic Regression using Randomized Response Sampling

In this paper, various logistic regression models for several randomized response models are proposed and studied. The effect of choice of parameters in the randomized response models due Warner (1965), Kuk (1990) and the Simmons' unrelated question model on the logit functions has been demonstrated through various graphical representations. The effect on the estimates of the regression coeffic...

Logistic Regression Analysis of Non-randomized Response Data Collected via the Parallel Model in Sensitive Surveys