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Balancing Theory and Practice in Respondent-Driven Sampling: A Case Study of Innovations Developed to Overcome Recruitment Challenges

机译：在受访者驱动的抽样中平衡理论与实践：以克服招聘挑战为目标的创新案例研究

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IntroductionRespondent-driven sampling (RDS) offers a recruitment strategy for hard-to-reach populations. However, RDS faces logistical and theoretical challenges that threaten efficiency and validity in settings worldwide. We present innovative adaptations to conventional RDS to overcome barriers encountered in recruiting a large, representative sample of men who have sex with men (MSM) who travel internationally.

机译：简介受访者驱动的抽样（RDS）为难以覆盖的人群提供了招聘策略。但是，RDS面临物流和理论挑战，这些挑战威胁着全球范围内的效率和有效性。我们提出了对常规RDS的创新性适应方法，以克服在招募大量具有代表性的与国际旅行有性行为的男性（MSM）男性样本方面遇到的障碍。

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Hong-Ha M. Truong; Michael Grasso; Yea-Hung Chen; Timothy A. Kellogg; Tyler Robertson; Alberto Curotto; Wayne T. Steward; Willi McFarland;
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年(卷),期 -1(8),8
年度 -1
页码 e70344
总页数 7
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机译：在受访者驱动的抽样中平衡理论和实践：为克服招聘挑战而开发的创新案例研究。

Balancing Theory and Practice in Respondent-Driven Sampling: A Case Study of Innovations Developed to Overcome Recruitment Challenges

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