Consistency for the tree bootstrap in respondent-driven sampling

Summary 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 prop...

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Bibliographic Details
Published in:	Biometrika Vol. 107; no. 2; pp. 497 - 504
Main Authors:	Green, A K B, McCormick, T H, Raftery, A E
Format:	Journal Article
Language:	English
Published:	England Oxford University Press 01-06-2020 Oxford Publishing Limited (England)
Subjects:	Consistency Drug abuse Estimation HIV Human immunodeficiency virus Miscellanea Sampling Statistical methods Block bootstrap Consistency Respondent-driven sampling Tree bootstrap
Online Access:	Get full text
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Summary:	Summary 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 $m$-trees.
Bibliography:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23
ISSN:	0006-3444 1464-3510
DOI:	10.1093/biomet/asz067