Overlooked Threats to Respondent Driven Sampling Estimators: Peer Recruitment Reality, Degree Measures, and Random Selection Assumption

@article{Li2017OverlookedTT,
  title={Overlooked Threats to Respondent Driven Sampling Estimators: Peer Recruitment Reality, Degree Measures, and Random Selection Assumption},
  author={Jianghong Li and Thomas W. Valente and Hee-Sung Shin and Margaret R Weeks and Alexei Zelenev and Gayatri Moothi and Heather I Mosher and Robert Heimer and E. Robles and Greg M Palmer and Chinekwu Obidoa},
  journal={AIDS and Behavior},
  year={2017},
  volume={22},
  pages={2340-2359}
}
Intensive sociometric network data were collected from a typical respondent driven sample (RDS) of 528 people who inject drugs residing in Hartford, Connecticut in 2012–2013. This rich dataset enabled us to analyze a large number of unobserved network nodes and ties for the purpose of assessing common assumptions underlying RDS estimators. Results show that several assumptions central to RDS estimators, such as random selection, enrollment probability proportional to degree, and recruitment… CONTINUE READING
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