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Unequal sampling probability is one of the main differences between RDS samples and simple random samples. In this simulation study we had the advantage of knowing precisely the degree to which each participant was connected to others in the population. Standard weighted regression was undertaken using the Volz-Heckathorn (RDS-II) weights [31] from the RDS package [32]. These are inverse probability weights, based on the reported network degree (assumed to be a proxy for the sampling probability) and defined as:
where di is the reported network size.
Copyright and License information: The Author(s). ©2019
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
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