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...

Descripción completa

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
_version_ 1783534607566635008
author Green, A K B
McCormick, T H
Raftery, A E
author_facet Green, A K B
McCormick, T H
Raftery, A E
author_sort Green, A K B
collection PubMed
description 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.
format Online
Article
Text
id pubmed-7228542
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Oxford University Press
record_format MEDLINE/PubMed
spelling pubmed-72285422020-05-21 Consistency for the tree bootstrap in respondent-driven sampling Green, A K B McCormick, T H Raftery, A E Biometrika Miscellanea 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. Oxford University Press 2020-06 2020-01-24 /pmc/articles/PMC7228542/ /pubmed/32454530 http://dx.doi.org/10.1093/biomet/asz067 Text en © 2020 Biometrika Trust http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative CommonsAttribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Miscellanea
Green, A K B
McCormick, T H
Raftery, A E
Consistency for the tree bootstrap in respondent-driven sampling
title Consistency for the tree bootstrap in respondent-driven sampling
title_full Consistency for the tree bootstrap in respondent-driven sampling
title_fullStr Consistency for the tree bootstrap in respondent-driven sampling
title_full_unstemmed Consistency for the tree bootstrap in respondent-driven sampling
title_short Consistency for the tree bootstrap in respondent-driven sampling
title_sort consistency for the tree bootstrap in respondent-driven sampling
topic Miscellanea
url 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
work_keys_str_mv AT greenakb consistencyforthetreebootstrapinrespondentdrivensampling
AT mccormickth consistencyforthetreebootstrapinrespondentdrivensampling
AT rafteryae consistencyforthetreebootstrapinrespondentdrivensampling

Ejemplares similares