AIDS and Behavior

, Volume 18, Issue 12, pp 2366–2373

Spatial Recruitment Bias in Respondent-Driven Sampling: Implications for HIV Prevalence Estimation in Urban Heterosexuals

  • Samuel M. Jenness
  • Alan Neaigus
  • Travis Wendel
  • Camila Gelpi-Acosta
  • Holly Hagan
Original Paper

Abstract

Respondent-driven sampling (RDS) is a study design used to investigate populations for which a probabilistic sampling frame cannot be efficiently generated. Biases in parameter estimates may result from systematic non-random recruitment within social networks by geography. We investigate the spatial distribution of RDS recruits relative to an inferred social network among heterosexual adults in New York City in 2010. Mean distances between recruitment dyads are compared to those of network dyads to quantify bias. Spatial regression models are then used to assess the impact of spatial structure on risk and prevalence outcomes. In our primary distance metric, network dyads were an average of 1.34 (95 % CI 0.82–1.86) miles farther dispersed than recruitment dyads, suggesting spatial bias. However, there was no evidence that demographic associations with HIV risk or prevalence were spatially confounded. Therefore, while the spatial structure of recruitment may be biased in heterogeneous urban settings, the impact of this bias on estimates of outcome measures appears minimal.

Keywords

Respondent-driven sampling Survey sampling HIV/AIDS Heterosexual 

Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  • Samuel M. Jenness
    • 1
  • Alan Neaigus
    • 2
  • Travis Wendel
    • 3
  • Camila Gelpi-Acosta
    • 4
  • Holly Hagan
    • 5
  1. 1.Department of EpidemiologyUniversity of WashingtonSeattleUSA
  2. 2.New York City Department of HealthHIV Epidemiology ProgramNew YorkUSA
  3. 3.Department of AnthropologyJohn Jay College of Criminal JusticeNew YorkUSA
  4. 4.Department of SociologyThe New SchoolNew YorkUSA
  5. 5.College of NursingNew York UniversityNew YorkUSA

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