• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of the royal statistical society >Reduced bias for respondent-driven sampling: accounting for non-uniform edge sampling probabilities in people who inject drugs in Mauritius
【24h】

Reduced bias for respondent-driven sampling: accounting for non-uniform edge sampling probabilities in people who inject drugs in Mauritius

机译：减少由受访者主导的抽样的偏见：考虑毛里求斯注射毒品者中不统一的边缘抽样概率

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

People who inject drugs are an important population to study to reduce transmission of blood-borne illnesses including human immunodeficiency virus and hepatitis. We estimate the human immunodeficiency virus and hepatitis C prevalence among people who inject drugs in Mauritius. Respondent-driven sampling (RDS), which is a widely adopted link tracing sampling design used to collect samples from hard-to-reach human populations, was used to collect this sample. The random-walk approximation underlying many common RDS estimators assumes that each social relationship (edge) in the underlying social network has an equal probability of being traced in the collection of the sample. This assumption does not hold in practice. We show that certain RDS estimators are sensitive to the violation of this assumption. To address this limitation in current methodology, and the effect that it may have on prevalence estimates, we present a new method for improving RDS prevalence estimators using estimated edge inclusion probabilities, and we apply this to data from Mauritius.
机译：注射毒品的人是一个重要的人群，需要进行研究以减少包括人类免疫缺陷病毒和肝炎在内的血液传播疾病的传播。我们估算了毛里求斯注射毒品者中的人类免疫缺陷病毒和丙型肝炎流行率。响应者驱动采样（RDS）是一种广泛采用的链接跟踪采样设计，用于从难以到达的人群中采样。许多常见RDS估计量的基础上的随机游走近似假设基础社会网络中的每个社会关系（边缘）在样本集合中被追踪的可能性均等。该假设在实践中不成立。我们表明某些RDS估计量对违反此假设很敏感。为了解决当前方法学中的这种局限性及其对流行率估计的影响，我们提出了一种新的方法，该方法使用估计的边缘包含概率来改进RDS流行度估计值，并将其应用于毛里求斯的数据。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号