Corpus ID: 11868240

Inference for the Visibility Distribution for Respondent-Driven Sampling

@inproceedings{McLaughlin2015InferenceFT,
  title={Inference for the Visibility Distribution for Respondent-Driven Sampling},
  author={Katherine R McLaughlin and M. Handcock and L. Johnston},
  year={2015}
}
Respondent-Driven Sampling (RDS) is used throughout the world to estimate prevalences and population sizes for hard-to-reach populations. Although RDS is an effective method for enrolling people from key populations (KPs) in studies, it relies on an unknown sampling mechanism and thus each individual’s inclusion probability is unknown. Current estimators rely on a participant’s network size (degree) to compute their visibility and their inclusion probability in the networked population. However… Expand
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