Corpus ID: 16624119

The Sensitivity of Respondent-driven Sampling Method

  title={The Sensitivity of Respondent-driven Sampling Method},
  author={X. Lu and L. Bengtsson and T. Britton and M. Camitz and B. Kim and Anna Thorson and F. Liljeros},
  journal={arXiv: Applications},
  • X. Lu, L. Bengtsson, +4 authors F. Liljeros
  • Published 2010
  • Computer Science, Mathematics, Physics, Biology
  • arXiv: Applications
  • Researchers in many scientific fields make inferences from individuals to larger groups. For many groups however, there is no list of members from which to take a random sample. Respondent-driven sampling (RDS) is a relatively new sampling methodology that circumvents this difficulty by using the social networks of the groups under study. The RDS method has been shown to provide unbiased estimates of population proportions given certain conditions. The method is now widely used in the study of… CONTINUE READING
    26 Citations
    Some advances in Respondent-driven sampling on directed social networks
    • 1
    • PDF
    The Importance of Measuring and Accounting for Potential Biases in Respondent-Driven Samples
    • 36
    • PDF


    7. Respondent-Driven Sampling: An Assessment of Current Methodology
    • 441
    • PDF
    Respondent-driven sampling : A new approach to the study of hidden populations
    • 3,421
    • Highly Influential
    • PDF
    Probability based estimation theory for respondent driven sampling
    • 454
    • Highly Influential
    • PDF
    Variance Estimation, Design Effects, and Sample Size Calculations for Respondent-Driven Sampling
    • 361
    • PDF
    5. Sampling and Estimation in Hidden Populations Using Respondent-Driven Sampling
    • 1,488
    • PDF
    Critical Issues and Further Questions About Respondent-Driven Sampling: Comment on Ramirez-Valles, et al. (2005)
    • R. Heimer
    • Biology, Medicine
    • AIDS and Behavior
    • 2005
    • 84
    Respondent-driven sampling as Markov chain Monte Carlo.
    • 169
    • Highly Influential
    • PDF
    Web-Based Network Sampling
    • 159
    • PDF