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Annual Review of Statistics and Its Application

Volume 5, 2018

Methods for Inference from Respondent-Driven Sampling Data

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.

Keyword(s): hard-to-reach population, link-tracing, network sampling, not missing at random, respondent-driven sampling, snowball sampling, social network
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2018-03-07
2024-04-16
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/content/journals/10.1146/annurev-statistics-031017-100704
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Methods for Inference from Respondent-Driven Sampling Data
Annual Review of Statistics and Its Application 5, 65 (2018); https://doi.org/10.1146/annurev-statistics-031017-100704
/content/journals/10.1146/annurev-statistics-031017-100704
/content/journals/10.1146/annurev-statistics-031017-100704
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