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Comparison of Respondent Driven Sampling Estimators to Determine HIV Prevalence and Population Characteristics among Men Who Have Sex with Men in Moscow, Russia.

Publication ,  Journal Article
Wirtz, AL; Mehta, SH; Latkin, C; Zelaya, CE; Galai, N; Peryshkina, A; Mogilnyi, V; Dzhigun, P; Kostetskaya, I; Beyrer, C
Published in: PLoS One
2016

Analytically distinct estimators have been proposed for the calculation of population-based estimates derived from respondent-driven sampling (RDS), yet there have been few comparisons of the inferences from these estimators using empirical data. We compared estimates produced by unweighted analysis used to calculate sample proportions and by three available estimators that are used to calculate population proportions, RDS-I, RDS-II (Volz-Heckathorn), and Gile's RDS-SS. Data were derived from a cross-sectional, RDS study of men who have sex with men (MSM) conducted from October 2010 to April 2013 in Moscow, Russia (N = 1,376, recruitment depth: 31 waves). Analyses investigated the influence of key parameters: recruitment depth, homophily, and network size on sample and population estimates. Variability in results produced by the estimators and recruitment depth were statistically compared using the coefficient of variation (CV). Sample proportions had the least variability across different recruitment depths, compared to the RDS estimators. Population estimates tended to differ at lower recruitment depth but were approximately equal after reaching sampling equilibrium, highlighting the importance of sampling to greater recruitment depth. All estimators incorporate inverse probability weighting using self-reported network size, explaining the similarities in across population estimates and the difference of these estimates relative to sample proportions. Current biases and limitations associated with RDS estimators are discussed.

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Published In

PLoS One

DOI

EISSN

1932-6203

Publication Date

2016

Volume

11

Issue

6

Start / End Page

e0155519

Location

United States

Related Subject Headings

  • Moscow
  • Male
  • Humans
  • Homosexuality, Male
  • HIV Seroprevalence
  • HIV Infections
  • General Science & Technology
  • Cross-Sectional Studies
  • Adult
 

Citation

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Chicago
ICMJE
MLA
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Wirtz, A. L., Mehta, S. H., Latkin, C., Zelaya, C. E., Galai, N., Peryshkina, A., … Beyrer, C. (2016). Comparison of Respondent Driven Sampling Estimators to Determine HIV Prevalence and Population Characteristics among Men Who Have Sex with Men in Moscow, Russia. PLoS One, 11(6), e0155519. https://doi.org/10.1371/journal.pone.0155519
Wirtz, Andrea L., Shruti H. Mehta, Carl Latkin, Carla E. Zelaya, Noya Galai, Alena Peryshkina, Vladimir Mogilnyi, Petr Dzhigun, Irina Kostetskaya, and Chris Beyrer. “Comparison of Respondent Driven Sampling Estimators to Determine HIV Prevalence and Population Characteristics among Men Who Have Sex with Men in Moscow, Russia.PLoS One 11, no. 6 (2016): e0155519. https://doi.org/10.1371/journal.pone.0155519.
Wirtz, Andrea L., et al. “Comparison of Respondent Driven Sampling Estimators to Determine HIV Prevalence and Population Characteristics among Men Who Have Sex with Men in Moscow, Russia.PLoS One, vol. 11, no. 6, 2016, p. e0155519. Pubmed, doi:10.1371/journal.pone.0155519.
Wirtz AL, Mehta SH, Latkin C, Zelaya CE, Galai N, Peryshkina A, Mogilnyi V, Dzhigun P, Kostetskaya I, Beyrer C. Comparison of Respondent Driven Sampling Estimators to Determine HIV Prevalence and Population Characteristics among Men Who Have Sex with Men in Moscow, Russia. PLoS One. 2016;11(6):e0155519.

Published In

PLoS One

DOI

EISSN

1932-6203

Publication Date

2016

Volume

11

Issue

6

Start / End Page

e0155519

Location

United States

Related Subject Headings

  • Moscow
  • Male
  • Humans
  • Homosexuality, Male
  • HIV Seroprevalence
  • HIV Infections
  • General Science & Technology
  • Cross-Sectional Studies
  • Adult