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2011 The effect of differential recruitment, non-response and non-recruitment on estimators for respondent-driven sampling
Amber Tomas, Krista J. Gile
Electron. J. Statist. 5: 899-934 (2011). DOI: 10.1214/11-EJS630

Abstract

Respondent-driven sampling is a widely-used network sampling technique, designed to sample from hard-to-reach populations. Estimation from the resulting samples is an area of active research, with software available to compute at least four estimators of a population proportion. Each estimator is claimed to address deficiencies in previous estimators, however those claims are often unsubstantiated. In this study we provide a simulation-based comparison of five existing estimators, focusing on sampling conditions which a recent estimator is designed to address. We find no estimator consistently out-performs all others, and highlight sampling conditions in which each is to be preferred.

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Amber Tomas. Krista J. Gile. "The effect of differential recruitment, non-response and non-recruitment on estimators for respondent-driven sampling." Electron. J. Statist. 5 899 - 934, 2011. https://doi.org/10.1214/11-EJS630

Information

Published: 2011
First available in Project Euclid: 22 August 2011

zbMATH: 1274.62103
MathSciNet: MR2831520
Digital Object Identifier: 10.1214/11-EJS630

Rights: Copyright © 2011 The Institute of Mathematical Statistics and the Bernoulli Society

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