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Methods for Inference from Respondent-Driven Sampling Data

机译:来自受访者驱动的采样数据的推断方法

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摘要

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.
机译:受访者驱动的抽样是一种常用的方法,用于从由潜在的关系相关的难以到达人口群体采样方法。 从方便样品开始,参与者通过优惠券邀请他们的联系人加入样本。 虽然该方法往往有效地实现大而不同的样本,但其对方便样本,社交网络联系和参与者决策的依赖性使其成为大量统计问题。 本文介绍了受访者驱动采样收集的数据的推理方法。

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