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Methods for Inference from Respondent-Driven Sampling Data
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DOI：10.1146/annurev-statistics-031017-100704.png)
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Abstract
En 中文
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.
Keywords:
respondent-driven sampling
link-tracing
not missing at random
network sampling
social network
hard-to-reach population
snowball sampling
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