Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/67489 
Year of Publication: 
2012
Citation: 
[Journal:] Stata Journal [Volume:] 12 [Issue:] 1 [Publisher:] Stata Press [Place:] College Station, Texas [Year:] 2012 [Pages:] 72-93
Publisher: 
Stata Press, College Station, Texas
Abstract: 
Respondent-driven sampling is a network sampling technique typically employed for hard-to-reach populations (for example, drug users, men who have sex with men, people with HIV). Similarly to snowball sampling, initial seed respondents recruit additional respondents from their network of friends. The recruiting process repeats iteratively, thereby forming long referral chains. Unlike in snowball sampling, it is crucial to obtain estimates of respondents' personal network sizes (that is, number of acquaintances in the target population) and information about who recruited whom. Markov chain theory makes it possible to derive population estimates and sampling weights. We introduce a new Stata command for respondent-driven sampling and illustrate its use.
Subjects: 
rds
rds network
respondent-driven sampling
Additional Information: 
Publisher's website: http://www.stata-journal.com
Document Type: 
Article
Document Version: 
Published Version

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