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2016 Unequal edge inclusion probabilities in link-tracing network sampling with implications for Respondent-Driven Sampling
Miles Q. Ott, Krista J. Gile
Electron. J. Statist. 10(1): 1109-1132 (2016). DOI: 10.1214/16-EJS1138

Abstract

Respondent-Driven Sampling (RDS) is a widely adopted link-tracing sampling design used to draw valid statistical inference from samples of populations for which there is no available sampling frame. RDS estimators rely upon the assumption that each edge (representing a relationship between two individuals) in the underlying network has an equal probability of being sampled. We show that this assumption is violated in even the simplest cases, and that RDS estimators are sensitive to the violation of this assumption.

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Miles Q. Ott. Krista J. Gile. "Unequal edge inclusion probabilities in link-tracing network sampling with implications for Respondent-Driven Sampling." Electron. J. Statist. 10 (1) 1109 - 1132, 2016. https://doi.org/10.1214/16-EJS1138

Information

Received: 1 June 2015; Published: 2016
First available in Project Euclid: 29 April 2016

zbMATH: 1335.62029
MathSciNet: MR3492037
Digital Object Identifier: 10.1214/16-EJS1138

Rights: Copyright © 2016 The Institute of Mathematical Statistics and the Bernoulli Society

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Vol.10 • No. 1 • 2016
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