Document Type

Article

Publication Date

2016

Publication Title

Electronic Journal of Statistics

Volume

10

Abstract

Respondent-Driven Sampling (RDS) is a widely adopted linktracing 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.

Comments

Archived as published.

First Page

1109

Last Page

1132

Digital Object Identifier (DOI)

DOI: 10.1214/16-EJS1138

Rights

EJS is sponsored by the Institute of Mathematical Statistics and by the Bernoulli Society. EJS is an open access journal. Voluntary fees or donations to the Open Access Fund are accepted. Copyright for all articles in EJS is CC BY 4.0.

Creative Commons License

Creative Commons Attribution 4.0 License
This work is licensed under a Creative Commons Attribution 4.0 License.

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