The Effect of Differential Recruitment, Non-response and Non-recruitment on Estimators for Respondent-Driven Sampling

Details The Effect of Differential Recruitment, Non-response and Non-recruitment on Estimators for Respondent-Driven Sampling The Effect of Differential Recruitment, Non-response and Non-recruitment on Estimators for Respondent-Driven Sampling

2010-12-18

arxiv.org/abs/1012.4122v1

Statistics

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26 pages, 13 figures

Scientific paper

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, focussing 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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