Evidence map›Paper›PMID 24834869›Full record

ArticleSocial science & medicine (1982)2015

Challenges to recruiting population representative samples of female sex workers in China using Respondent Driven Sampling.

M Giovanna Merli, James Moody, Jeffrey Smith, Jing Li, Sharon Weir, Xiangsheng Chen

Abstract read
In one paragraph

Article in Social science & medicine (1982), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. A Review of Network Models for HIV Spread.Journal of acquired immune deficiency syndromes (1999) · 2025
    Pooled it
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  12. Evaluating Variance Estimators for Respondent-Driven Sampling.Journal of survey statistics and methodology · 2017
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  18. Stickiness of respondent-driven sampling recruitment chains.Network science (Cambridge University Press)
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

M Giovanna MerliSanford School of Public Policy & Duke Global Health Institute, Duke Population Research Institute, Duke University, Box 90312, Durham, NC 27708, USA; Department of Sociology, Duke University, Durham, NC 27708, USA. Electronic address: giovanna.merli@duke.edu.
James MoodyDepartment of Sociology, Duke University, Durham, NC 27708, USA.
Jeffrey SmithDepartment of Sociology, University of Nebraska, Lincoln, NE 68508, USA.
Jing LiNational Center for STD Control, 12 Jiangwangmiao Street, Nanjing 210042, China.
Sharon WeirThe Carolina Population Center and the Department of Epidemiology, Gillings School of Global Public Health, Campus Box 8120, University of North Carolina at Chapel Hill, Chapel Hill, NC 27546, USA.
Xiangsheng ChenNational Center for STD Control, 12 Jiangwangmiao Street, Nanjing 210042, China.

Funding

Research Services CoreP2CHD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAREN B GUZZO · 2015 to 2026
$9.6M
Science CoreP2CHD065563 · NICHD · DUKE UNIVERSITY · PI James Moody · 2015 to 2026
$5.7M
Models and Tools for Dynamic Health-Relevant Diffusion over Complex NetworksR01HD075712 · NICHD · DUKE UNIVERSITY · PI MOODY, JAMES, MUCHA, PETER JOHN · 2013 to 2018
$1.8M
Using Multiple Data Sources to Improve Respondent Driven Sampling EstimationR01HD068523 · NICHD · DUKE UNIVERSITY · PI MERLI, GIOVANNA M · 2011 to 2014
$1.1M
NICHD NIH HHS 1 R01 HD068523NICHD NIH HHS 1 R01 HD075712NICHD NIH HHS P2C HD050924NICHD NIH HHS P2C HD065563NICHD NIH HHS R01 HD068523NICHD NIH HHS R01 HD075712
6 · The paper itself

Abstract

We explore the network coverage of a sample of female sex workers (FSWs) in China recruited through Respondent Drive Sampling (RDS) as part of an effort to evaluate the claim of RDS of population representation with empirical data. We take advantage of unique information on the social networks of FSWs obtained from two overlapping studies--RDS and a venue-based sampling approach (PLACE)--and use an exponential random graph modeling (ERGM) framework from local networks to construct a likely network from which our observed RDS sample is drawn. We then run recruitment chains over this simulated network to assess the assumption that the RDS chain referral process samples participants in proportion to their degree and the extent to which RDS satisfactorily covers certain parts of the network. We find evidence that, contrary to assumptions, RDS oversamples low degree nodes and geographically central areas of the network. Unlike previous evaluations of RDS which have explored the performance of RDS sampling chains on a non-hidden population, or the performance of simulated chains over previously mapped realistic social networks, our study provides a robust, empirically grounded evaluation of the performance of RDS chains on a real-world hidden population.

Indexed as

Sampling StudiesSocial SupportAlgorithmsChinaComputer SimulationFemaleHumansSex WorkersChinaFemale sex workersHIVNetwork simulationRespondent Driven SamplingSocial networks

Identifiers

PMID24834869
PMCPMC4214891

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Registered trials

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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.