Electronic Journal of Statistics

The effect of differential recruitment, non-response and non-recruitment on estimators for respondent-driven sampling

Amber Tomas and Krista J. Gile

Full-text: Open access

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.

Article information

Source
Electron. J. Statist., Volume 5 (2011), 899-934.

Dates
First available in Project Euclid: 22 August 2011

Permanent link to this document
https://projecteuclid.org/euclid.ejs/1314018119

Digital Object Identifier
doi:10.1214/11-EJS630

Mathematical Reviews number (MathSciNet)
MR2831520

Zentralblatt MATH identifier
1274.62103

Keywords
Respondent Driven Sampling non-response

Citation

Tomas, Amber; Gile, Krista J. The effect of differential recruitment, non-response and non-recruitment on estimators for respondent-driven sampling. Electron. J. Statist. 5 (2011), 899--934. doi:10.1214/11-EJS630. https://projecteuclid.org/euclid.ejs/1314018119


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