Consistency for the tree bootstrap in respondent-driven sampling

Respondent-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 e...

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Detalles Bibliográficos
Autores principales: Green, A K B, McCormick, T H, Raftery, A E
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Miscellanea
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7228542/
https://www.ncbi.nlm.nih.gov/pubmed/32454530
http://dx.doi.org/10.1093/biomet/asz067
Descripción
Sumario:Respondent-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 [Formula: see text]-trees.

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