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Respondent privacy and estimation efficiency in randomized response surveys for discrete-valued sensitive variables
Jeopardy measure numerical stigmatizing variable revealing probability
2013/4/28
In some socio-economic surveys, data are collected on sensitive or stigmatizing issues such as tax evasion, criminal conviction, drug use, etc. In such surveys, direct questioning of respondents is no...
Diagnostics for Respondent-driven Sampling
diagnostics exploratory data analysis hard-to-reachpopulations HIV/AIDS link-tracingsampling non-ignorable design,respondent-driven sampling social networks survey sampling
2012/11/23
Respondent-driven sampling (RDS) is a widely used method for sampling from hard-to-reach human populations, especially groups most at-risk for HIV/AIDS. Data are collected through a peer-referral proc...
On the impossibility of constructing good population mean estimators in a realistic Respondent Driven Sampling model
impossibility constructing good population mean estimators realistic Respondent Driven Sampling model
2012/11/22
Current methods for population mean estimation from data collected by Respondent Driven Sampling (RDS) are based on the Horvitz-Thompson estimator together with a set of assumptions on the sampling mo...
The Sensitivity of Respondent-driven Sampling Method
directed network hidden population network respondent-driven sampling RDS sensitivity
2010/3/10
Researchers in many scientific fields make inferences from individuals to larger groups. For many groups however,there is no list of members from which to take a random sample. Respondent-driven sampl...