Hidden Population Size Estimation From Respondent-Driven Sampling: A Network Approach

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Estimating hidden population size using Respondent-Driven Sampling data.

Respondent-Driven Sampling (RDS) is n approach to sampling design and inference in hard-to-reach human populations. It is often used in situations where the target population is rare and/or stigmatized in the larger population, so that it is prohibitively expensive to contact them through the available frames. Common examples include injecting drug users, men who have sex with men, and female s...

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Sampling and Estimation in Hidden Populations Using Respondent-Driven Sampling

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respondent driven sampling: a new approach to sampling rare and hidden diseases

background : a detailed study of hidden and hard to reach populations in order to identify their characteristics is essential because they endanger the health of the society by their dangerous behaviors. however, sampling in these populations through conventional sampling methods is impossible due to reasons such as being hidden and lacking a precise frame. methods: in this article, applicable ...

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

BACKGROUND While guidance exists for obtaining population size estimates using multiplier methods with respondent-driven sampling surveys, we lack specific guidance for making sample size decisions. OBJECTIVE To guide the design of multiplier method population size estimation studies using respondent-driven sampling surveys to reduce the random error around the estimate obtained. METHODS Th...

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A comparison of network sampling designs for a hidden population of drug users: Random walk vs. respondent-driven sampling.

Both random walk and respondent-driven sampling (RDS) exploit social networks and may reduce biases introduced by earlier methods for sampling from hidden populations. Although RDS has become much more widely used by social researchers than random walk (RW), there has been little discussion of the tradeoffs in choosing RDS over RW. This paper compares experiences of implementing RW and RDS to r...

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ژورنال

عنوان ژورنال: Journal of the American Statistical Association

سال: 2018

ISSN: 0162-1459,1537-274X

DOI: 10.1080/01621459.2017.1285775