Evaluation of respondent-driven sampling.
Evaluation of respondent-driven sampling.
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DOI：
10.1097/ede.0b013e31823ac17c
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发表时间：
2012-01
期刊：
影响因子：
--
通讯作者：
White RG
中科院分区：
文献类型：
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作者：
McCreesh N;Frost SD;Seeley J;Katongole J;Tarsh MN;Ndunguse R;Jichi F;Lunel NL;Maher D;Johnston LG;Sonnenberg P;Copas AJ;Hayes RJ;White RG
调查对象驱动抽样是联系追踪抽样的一种新变体，用于估计难以接触群体的特征，如性工作者的艾滋病毒流行率。尽管它的使用领先的卫生组织，这种方法在现实情况下的性能仍然是未知的。我们评估了响应驱动的抽样比较估计从响应驱动的抽样调查与总人口数据。总人口的年龄，部落，宗教，社会经济地位，性活动和艾滋病毒感染状况的数据提供了一个开放的队列在乌干达农村人口的2 402名男性户主。采用当前的抽样方法（RDS样本）和统计推断（RDS估计），在该人群中进行了应答者驱动抽样（RDS）调查。对整个RDS样本进行分析，然后对前250名新兵（小样本）进行重复分析。我们招募了927名户主。完整和小型RDS样本在很大程度上代表了总人口，但这两个样本都代表了年轻，社会经济地位较高，性活动和艾滋病毒状况未知的男性。受访者驱动抽样的间接推理方法未能减少这些偏差。只有31%-37%（取决于方法和样本大小）的RDS估计值比RDS样本比例更接近真实的人口比例。只有50%-74%的应答者驱动抽样的bootstrap 95%置信区间包括人口比例。受访者驱动的抽样产生了一个普遍代表性的样本，这个良好的连接非隐藏的人口。然而，目前的受访者驱动抽样推理方法未能减少偏见时，它发生。在以被调查者为主导的抽样调查中，是否能够收集到消除偏差和测量精确度所需的数据，这一问题尚未解决。受访者驱动的抽样应被视为一种（潜在的上级）形式的连续性抽样方法，在解释基于抽样方法的调查结果时需要谨慎。
Respondent-driven sampling is a novel variant of link-tracing sampling for estimating the characteristics of hard-to-reach groups, such as HIV prevalence in sex-workers. Despite its use by leading health organizations, the performance of this method in realistic situations is still largely unknown. We evaluated respondent-driven sampling by comparing estimates from a respondent-driven sampling survey with total-population data. Total-population data on age, tribe, religion, socioeconomic status, sexual activity and HIV status were available on a population of 2402 male household-heads from an open cohort in rural Uganda. A respondent-driven sampling (RDS) survey was carried out in this population, employing current methods of sampling (RDS sample) and statistical inference (RDS estimates). Analyses were carried out for the full RDS sample and then repeated for the first 250 recruits (small sample). We recruited 927 household-heads. Full and small RDS samples were largely representative of the total population, but both samples under-represented men who were younger, of higher socioeconomic status, and with unknown sexual activity and HIV status. Respondent-driven-sampling statistical-inference methods failed to reduce these biases. Only 31%-37% (depending on method and sample size) of RDS estimates were closer to the true population proportions than the RDS sample proportions. Only 50%-74% of respondent-driven-sampling bootstrap 95% confidence intervals included the population proportion. Respondent-driven sampling produced a generally representative sample of this well-connected non-hidden population. However, current respondent-driven-sampling inference methods failed to reduce bias when it occurred. Whether the data required to remove bias and measure precision can be collected in a respondent-driven sampling survey is unresolved. Respondent-driven sampling should be regarded as a (potentially superior) form of convenience-sampling method, and caution is required when interpreting findings based on the sampling method.