Population Proportion Estimator of Respondent Driven Sampling for Non-dichotomous Variables, Data Smoothing Approach
نویسندگان
چکیده
منابع مشابه
Approximate Bayesian Computation Estimator for Respondent-Driven Sampling
Respondent-driven sampling is a network-based technique to collect information and make estimation about behavior and composition of social groups in hidden population. The non-randomly selected samples prohibit the use of the sample mean as a statistically valid estimator. Researchers have proposed several asymptotically unbiased estimators, but many fail to realize that the high variance of t...
متن کاملEstimating 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...
متن کاملA single weighting approach to analyze respondent-driven sampling data
BACKGROUND AND OBJECTIVES Respondent-driven sampling (RDS) is widely used to sample hidden populations and RDS data are analyzed using specially designed RDS analysis tool (RDSAT). RDSAT estimates parameters such as proportions. Analysis with RDSAT requires separate weight assignment for individual variables even in a single individual; hence, regression analysis is a problem. RDS-analyst is an...
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...
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ژورنال
عنوان ژورنال: Journal of Applied Sciences
سال: 2017
ISSN: 1812-5654
DOI: 10.3923/jas.2017.196.203