1. Methods for Inference from Respondent-Driven Sampling Data
- Author
-
Gile, Krista J, Beaudry, Isabelle S, Handcock, Mark S, and Ott, Miles Q
- Subjects
hard-to-reach population ,Numerical and Computational Mathematics ,Clinical Research ,respondent-driven sampling ,Behavioral and Social Science ,Statistics ,link-tracing ,network sampling ,social network ,snowball sampling ,Generic health relevance ,not missing at random ,Basic Behavioral and Social Science - Abstract
Respondent-driven sampling is a commonly used method for sampling from hard-to-reach human populations connected by an underlying social network of relations. Beginning with a convenience sample, participants pass coupons to invite their contacts to join the sample. Although the method is often effective at attaining large and varied samples, its reliance on convenience samples, social network contacts, and participant decisions makes it subject to a large number of statistical concerns. This article reviews inferential methods available for data collected by respondent-driven sampling.
- Published
- 2018