Abstract:
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Respondent-Driven Sampling is type of link-tracing network sampling used to study hard-to-reach populations. Beginning with a convenience sample, each person sampled is given 2-3 uniquely identified coupons to distribute to other members of the target population, making them eligible for enrollment in the study. This is effective at collecting large diverse samples from many populations.
Unfortunately, sampling is affected by many features of the network and sampling process, inducing a non-ignorable sampling design, and many potential biases related to network structure and recruitment behavior. In this talk, we highlight key methodological challenges arising from data collected in this manner, including both progress to date and outstanding challenges.
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