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Consistency for the tree bootstrap in respondent-driven sampling

Author

Listed:
  • A K B Green
  • T H McCormick
  • A E Raftery

Abstract

SummaryRespondent-driven sampling is an approach for estimating features of populations that are difficult to access using standard survey tools, e.g., the fraction of injection drug users who are HIV positive. Baraff et al. (2016) introduced an approach to estimating uncertainty in population proportion estimates from respondent-driven sampling using the tree bootstrap method. In this paper we establish the consistency of this tree bootstrap approach in the case of $m$-trees.

Suggested Citation

  • A K B Green & T H McCormick & A E Raftery, 2020. "Consistency for the tree bootstrap in respondent-driven sampling," Biometrika, Biometrika Trust, vol. 107(2), pages 497-504.
    • Handle: RePEc:oup:biomet:v:107:y:2020:i:2:p:497-504.
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