Evaluating Variance Estimators for Respondent-Driven Sampling
نویسندگان
چکیده
منابع مشابه
Network Structure and Biased Variance Estimation in Respondent Driven Sampling
This paper explores bias in the estimation of sampling variance in Respondent Driven Sampling (RDS). Prior methodological work on RDS has focused on its problematic assumptions and the biases and inefficiencies of its estimators of the population mean. Nonetheless, researchers have given only slight attention to the topic of estimating sampling variance in RDS, despite the importance of varianc...
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 کاملRespondent 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 کاملModelling the Effect of Differential Recruitment on the Bias of Estimators for Respondent-Driven Sampling
Respondent Driven Sampling has previously been modelled as a random walk on a network. In this document we show that this model can be used to encompass within-group differential recruitment, and examine the implications for bias of several common estimators.
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ژورنال
عنوان ژورنال: Journal of Survey Statistics and Methodology
سال: 2017
ISSN: 2325-0984,2325-0992
DOI: 10.1093/jssam/smx018