“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. In this talk, we present advances in sample diagnostics for these features, as well as advances in inference adjusting for such features.
This talk includes joint work with Mark S. Handcock, Lisa G. Johnston and Matthew J. Salganik.”
The Department of Quantitative Health Sciences and the Quantitative Methods Core will conduct monthly seminars to explore statistical issues of general interest.
Please email with any questions.