Towards the Estimation of Effect Measures in Studies Using Respondent-Driven Sampling

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Sampling and Estimation in Hidden Populations Using Respondent-Driven Sampling

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Sample Size Calculations for Population Size Estimation Studies Using Multiplier Methods With Respondent-Driven Sampling Surveys

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Assessing 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...

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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...

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ژورنال

عنوان ژورنال: Journal of Urban Health

سال: 2013

ISSN: 1099-3460,1468-2869

DOI: 10.1007/s11524-013-9836-5