ArticleSociological methodology2016
THE GRAPHICAL STRUCTURE OF RESPONDENT-DRIVEN SAMPLING.
Article in Sociological methodology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Measuring Network Sizes in the Context of Respondent Driven Sampling: Evidence from Two Independent Surveys.Survey research methods · 2025Article
- Hidden Population Estimation with Indirect Inference and Auxiliary Information.Proceedings of machine learning research · 2024Article
- Network centrality for the identification of biomarkers in respondent-driven sampling datasets.PloS one · 2021Article
- Consistency for the tree bootstrap in respondent-driven sampling.Biometrika · 2020Article
- Estimating Hidden Population Sizes with Venue-based Sampling: Extensions of the Generalized Network Scale-up Estimator.Epidemiology (Cambridge, Mass.) · 2019Article
- Empirical evidence of recruitment bias in a network study of people who inject drugs.The American journal of drug and alcohol abuse · 2019Article
- Exposure, hazard, and survival analysis of diffusion on social networks.Statistics in medicine · 2018Article
- Statistical adjustment of network degree in respondent-driven sampling estimators: venue attendance as a proxy for network size among young MSM.Social networks · 2018Article
- Article
- Identification of Homophily and Preferential Recruitment in Respondent-Driven Sampling.American journal of epidemiology · 2018Article
- Hidden population size estimation from respondent-driven sampling: a network approach.Journal of the American Statistical Association · 2018Article
- HIV Risk, Prevalence, and Access to Care Among Men Who Have Sex with Men in Lebanon.AIDS research and human retroviruses · 2017Article
- NEW SURVEY QUESTIONS AND ESTIMATORS FOR NETWORK CLUSTERING WITH RESPONDENT-DRIVEN SAMPLING DATA.Sociological methodology · 2017Article
- HIV Prevalence Among People Who Inject Drugs in Greater Kuala Lumpur Recruited Using Respondent-Driven Sampling.AIDS and behavior · 2015Article
- Nonparametric Identification for Respondent-Driven Sampling.Statistics & probability letters · 2015Article
Corrections and comments
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Authors and funding
1 author.
Funding
Abstract
Respondent-driven sampling (RDS) is a chain-referral method for sampling members of hidden or hard-to-reach populations, such as sex workers, homeless people, or drug users, via their social networks. Most methodological work on RDS has focused on inference of population means under the assumption that subjects' network degree determines their probability of being sampled. Criticism of existing estimators is usually focused on missing data: the underlying network is only partially observed, so it is difficult to determine correct sampling probabilities. In this article, the author shows that data collected in ordinary RDS studies contain information about the structure of the respondents' social network. The author constructs a continuous-time model of RDS recruitment that incorporates the time series of recruitment events, the pattern of coupon use, and the network degrees of sampled subjects. Together, the observed data and the recruitment model place a well-defined probability distribution on the recruitment-induced subgraph of respondents. The author shows that this distribution can be interpreted as an exponential random graph model and develops a computationally efficient method for estimating the hidden graph. The author validates the method using simulated data and applies the technique to an RDS study of injection drug users in St. Petersburg, Russia.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.