The study of hard-to-reach populations presents significant challenges. Typically, a sampling frame is not available, and population members are difficult to identify or recruit from broader sampling ...
Improved Inference for Respondent-Driven Sampling Data With Application to HIV Prevalence Estimation
Respondent-driven sampling is a form of link-tracing network sampling, which is widely used to study hard-to-reach populations, often to estimate population proportions. Previous treatments of this ...
One possible explanation for the variability in estimates across the different nonprobability samples is the range of methods that online sample vendors employ. They differ on recruitment, weighting ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback