Identification of Homophily and Preferential Recruitment in Respondent-Driven Sampling
نویسندگان
چکیده
منابع مشابه
Respondent Driven Sampling
Respondent driven sampling (RDS) is a network sampling technique typically employed for hard-to-reach populations (e.g. drug users, men who have sex with men, people with HIV). Similar 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 sa...
متن کاملAssessing respondent-driven sampling.
Respondent-driven sampling (RDS) is a network-based technique for estimating traits in hard-to-reach populations, for example, the prevalence of HIV among drug injectors. In recent years RDS has been used in more than 120 studies in more than 20 countries and by leading public health organizations, including the Centers for Disease Control and Prevention in the United States. Despite the widesp...
متن کاملDiagnostics for Respondent-driven Sampling.
Respondent-driven sampling (RDS) is a widely used method for sampling from hard-to-reach human populations, especially populations at higher risk for HIV. Data are collected through peer-referral over social networks. RDS has proven practical for data collection in many difficult settings and is widely used. Inference from RDS data requires many strong assumptions because the sampling design is...
متن کاملEvaluation of the role of location and distance in recruitment in respondent-driven sampling
BACKGROUND Respondent-driven sampling(RDS) is an increasingly widely used variant of a link tracing design for recruiting hidden populations. The role of the spatial distribution of the target population has not been robustly examined for RDS. We examine patterns of recruitment by location, and how they may have biased an RDS study findings. METHODS Total-population data were available on a r...
متن کاملSampling and Estimation in Hidden Populations Using Respondent-Driven Sampling
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ژورنال
عنوان ژورنال: American Journal of Epidemiology
سال: 2017
ISSN: 0002-9262,1476-6256
DOI: 10.1093/aje/kwx208