Home
Resource
Evaluating the reproducibility of respondent-driven sampling: using repeated surveys among people who inject drugs in New Jersey
Citation & Export
View Usage Statistics
Staff View

Citation & Export
Hide

Simple citation

Wang, Peng. Evaluating the reproducibility of respondent-driven sampling: using repeated surveys among people who inject drugs in New Jersey. Retrieved from https://doi.org/doi:10.7282/t3-8r6f-0z37

Export

Click here for information about Citation Management Tools at Rutgers.

Statistics
Hide

Description

TitleEvaluating the reproducibility of respondent-driven sampling: using repeated surveys among people who inject drugs in New Jersey
NameWang, Peng (author); Raymond, Henry (chair); Shiau, Stephanie (member); Wei, Chongyi (member); Xu, Min (member); Rutgers University; School of Graduate Studies
Date Created2023
Other Date2023-10 (degree)
SubjectPublic health, Epidemiology, Statistics, Hard-to-reach population, HIV, Reproducibility, Respondent-driven sampling, Sampling methods
Extent126 pages
DescriptionDue to stigma or legal issues, populations with higher HIV risk are often hard to reach, which impedes accurate population estimation of HIV burden. To better sample hard-to-reach populations for HIV surveillance, various sampling methods have been designed and/or used since HIV Epidemic following first reported AIDS cases in 1981. As a sampling method to reduce biases of chain-referral samples and to obtain statistically unbiased estimates of population parameters, respondent-driven sampling has been widely used for hard-to-reach populations in HIV surveillance. However, limited studies have assessed the empirical reproducibility of RDS. This dissertation has three specific aims: (1) to review the development of various sampling methods for hard-to-reach populations in HIV surveillance, and then to critically review the assessment of different sampling methods with a focus on RDS; (2) to assess the reliability of naïve RDS samples; (3) to evaluate the consistency of population parameter estimates based on four RDS estimators (RDS-I, RDS-II, Gile’s SS, and HCG). Five rounds (Range of sample size: 394-524) of the National HIV Behavioral Surveillance – People Who Inject Drugs Surveys in Newark, New Jersey were used. The study shows that relatively good reliability of RDS samples and consistency of RDS-II and Gile’s SS estimators were observed. Future studies should consider the superiority of RDS under a specific situation and conduct diagnostic procedures during the stage of data collection to assure implementation accuracy when RDS is used.
NotePh.D.
NoteIncludes bibliographical references
Genretheses
Persistent URLhttps://doi.org/doi:10.7282/t3-8r6f-0z37
LanguageEnglish
CollectionSchool of Graduate Studies Electronic Theses and Dissertations
Organization NameRutgers, The State University of New Jersey
RightsThe author owns the copyright to this work.
Version 8.5.5
Rutgers University Libraries - Copyright ©2024