Statistical adjustment of network degree in respondent-driven sampling estimators: venue attendance as a proxy for network size among young MSM.

Statistical adjustment of network degree in respondent-driven sampling estimators: venue attendance as a proxy for network size among young MSM.
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DOI:
10.1016/j.socnet.2018.01.003
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发表时间:
2018-07
期刊:
影响因子:
3.1
通讯作者:
Schneider JA
Schneider JA
中科院分区:
法学1区
文献类型:
--
作者:
Fujimoto K;Cao M;Kuhns LM;Li D;Schneider JA

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我们引入了一种新的场所知情网络度测量,并将其应用于受访者驱动抽样(RDS)估计器。利用 2014 年至 2016 年从伊利诺伊州芝加哥和德克萨斯州休斯顿收集的 746 名年轻 MSM 的数据,我们估计了艾滋病毒和梅毒的人群血清流行率以及风险/保护行为,使用 RDS 估计和自我报告的网络规模作为标准程度测量以及我们提出的场所知情程度测量。结果表明,在两个抽样城市中,与其他衡量标准相比,场地知情程度衡量标准往往更有效(方差更小)且偏差更小。根据场馆出勤率调整的网络规模可以为 RDS 对感兴趣结果的估计提供更可靠、更准确的程度测量。
We introduce a new venue-informed network degree measure, which we applied to respondent-driven sampling (RDS) estimators. Using data collected from 746 young MSM in 2014–2016 in Chicago, IL, and Houston, TX, we estimated the population seroprevalence of HIV and syphilis and risk/protective behaviors, using RDS estimates with self-reported network size as a standard degree measure as well as our proposed venue-informed degree measure. The results indicate that the venue-informed degree measure tended to be more efficient (smaller variance) and less biased than the other measure in both cities sampled. Venue attendance-adjusted network size may provide a more reliable and accurate degree measure for RDS estimates of the outcomes of interest.
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