Network model-assisted inference from respondent-driven sampling data

Respondent-driven sampling is a widely used method for sampling hard-to-reach human populations by link tracing over their social networks. Inference from such data requires specialized techniques because the sampling process is both partially beyond the control of the researcher, and partially impl...

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Vydáno v:	Journal of the Royal Statistical Society. Series A, Statistics in society Ročník 178; číslo 3; s. 619 - 639
Hlavní autoři:	Gile, Krista J., Handcock, Mark S.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	England Blackwell Publishing Ltd 01.06.2015 John Wiley & Sons Ltd Oxford University Press
Témata:	Alternative approaches Bootstrap method Demonstrations Estimating techniques Estimation Estimation bias Estimators Exponential family random graph model Hard-to-reach population sampling High risk HIV Human immunodeficiency virus Infections Inference Link tracing Network analysis Network sampling Population Population estimates Population size Respondents Sampling Sampling bias Sampling studies Simulations Social networks Statistical inference Network sampling Exponential-family random graph model Social networks Link-tracing Hard-to-reach population sampling
ISSN:	0964-1998, 1467-985X
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