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Published on: November 10, 2023
Statistical adjustment of network degree in respondent-driven sampling estimators: venue attendance as a proxy for
Kayo Fujimoto1, Ming Cao1, Lisa M Kuhns2
1Department of Health Promotion and Behavioral Sciences, Department of Biostatistics, School of Public Health, The University of Texas Health Science Center at Houston, TX, 7000 Fannin Street, UCT 2514, Houston, TX 77030-5401.
Abstract:
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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