Evidence map›Paper›PMID 26214337›Full record

ArticleEpidemiology (Cambridge, Mass.)2015

Brief Report: Respondent-driven Sampling Estimators Under Real and Theoretical Recruitment Conditions of Female Sex Workers in China.

Ashton M Verdery, M Giovanna Merli, James Moody, Jeffrey A Smith, Jacob C Fisher

Abstract readEvaluation Study
In one paragraph

Article in Epidemiology (Cambridge, Mass.), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
16.1field-weighted citation impact, top 1% of its field
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

13 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
  2. Article
  3. Inferring bivariate associations with continuous data from studies using respondent-driven sampling.Journal of the Royal Statistical Society. Series C, Applied statistics · 2025
    Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
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

5 authors at 5 institutions in 2 countries.

Ashton M VerderyFrom the aDepartment of Sociology and Criminology, Population Research Institute, The Pennsylvania State University, University Park, PA; bDepartment of Sociology and Duke Global Health Institute, Sanford School of Public Policy, Duke Population Research Institute, Duke University, Durham, NC; cDepartment of Sociology, Duke Population Research Institute, Duke University, Durham, NC; dKing Abdulaziz University, Jeddah, Saudi Arabia; eDepartment of Sociology, University of Nebraska, Lincoln, NE; and fDepartment of Sociology, Duke University, Durham, NC.
M Giovanna Merli
James Moody
Jeffrey A Smith
Jacob C Fisher
Duke Institute for Health Innovation · USDuke University · USKing Abdulaziz University · SAPennsylvania State University · USUniversity of Nebraska–Lincoln · US

Funding

POPULATION STUDIEST32HD007168 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ELIZABETH A FRANKENBERG · 1985 to 2026
$13.8M
Carolina Population CenterR24HD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI MORGAN, SAMUEL PHILIP · 2005 to 2014
$10.0M
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
Focused Training in Social Networks and HealthR25HD079352 · NICHD · DUKE UNIVERSITY · PI MOODY, JAMES · 2015 to 2024
$1.6M
Using Multiple Data Sources to Improve Respondent Driven Sampling EstimationR01HD068523 · NICHD · DUKE UNIVERSITY · PI MERLI, GIOVANNA M · 2011 to 2014
$1.1M
Sexual Behavior, Sexual Networks and STDs in ChinaR21HD047521 · NICHD · UNIVERSITY OF WISCONSIN-MADISON · PI MERLI, GIOVANNA M. · 2006 to 2007
$511k
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 HD075712NICHD NIH HHS R21 HD047521NICHD NIH HHS R21HD047521NICHD NIH HHS R24 HD050924NICHD NIH HHS R25 HD079352NICHD NIH HHS T32 HD007168
6 · The paper itself

Abstract

We compare the performance of multiple respondent-driven sampling estimators under different sample recruitment conditions in hidden populations of female sex workers in the midst of China's ongoing epidemic of sexually transmitted infections. We first examine empirically calibrated simulations grounded in survey data to evaluate the relative performance of each estimator under ideal sampling conditions consistent with respondent-driven sampling assumptions and under conditions that mimic observed respondent-driven sampling recruitment processes. One estimator, which incorporates respondents' reports on their network of contacts, substantially out-performs the others under all conditions. We then apply the estimators to empirical samples of female sex workers collected in two Chinese cities that include unique data on respondents' networks. These empirical results are consistent with the simulation results, suggesting that traditional respondent-driven sampling estimators overestimate the proportion of female sex workers working in low tiers of sex work and are likely to overstate the sexually transmitted infection risk profiles of these populations.

Indexed as

Patient SelectionBiasChinaFemaleHumansSampling StudiesSexually Transmitted DiseasesSex Workers

Identifiers

PMID26214337
PMCPMC4617539
OpenAlexW2469570787

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.