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Published in 2019 at "Drug and alcohol dependence"
DOI: 10.1016/j.drugalcdep.2019.107743
Abstract: BACKGROUND Given the rising incidence of opioid overdose in the United States, naloxone access is critical for high-risk populations, such as persons who inject drugs (PWID). Yet not all PWID have access to this life-saving…
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Keywords:
driven sampling;
naloxone access;
inject drugs;
respondent driven ... See more keywords
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1
Published in 2019 at "Journal of clinical epidemiology"
DOI: 10.1016/j.jclinepi.2019.09.024
Abstract: BACKGROUND Respondent-driven sampling (RDS) is an increasingly popular method of recruiting participants from hard to reach populations and has traditionally been used to estimate the prevalence of HIV among marginalized populations. The STROBE-RDS guidelines were…
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Keywords:
driven sampling;
quality reporting;
respondent driven;
strobe rds ... See more keywords
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Published in 2020 at "Scientific Reports"
DOI: 10.1038/s41598-020-63269-0
Abstract: Respondent-driven sampling (RDS) is widely used for collecting data on hard-to-reach populations, including information about the structure of the networks connecting the individuals. Characterizing network features can be important for designing and evaluating health programs,…
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Keywords:
driven sampling;
mean degree;
estimation correction;
network ... See more keywords
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Published in 2025 at "Journal of the American Statistical Association"
DOI: 10.1080/01621459.2025.2516185
Abstract: Abstract Respondent-driven sampling (RDS) is widely used to collect data from hidden populations in social and biomedical science. Although RDS may provide comprehensive coverage of the target hidden population through social network recruitment, its nonrandom…
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Keywords:
respondent driven;
driven sampling;
latent variable;
variable model ... See more keywords
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Published in 2020 at "AIDS research and human retroviruses"
DOI: 10.1089/aid.2019.0173
Abstract: Communicating results from RDS Studies must be clear in order to avoid misinterpreation of the data. Comments and methodologial considerations on a recent published RDS study are made.
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Keywords:
driven sampling;
respondent driven;
sampling results;
caution interpretation ... See more keywords
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2
Published in 2023 at "American journal of epidemiology"
DOI: 10.1093/aje/kwad074
Abstract: Respondent-driven sampling (RDS) is a potential strategy for addressing challenges in accurate abortion incidence estimation, but relies on often untested assumptions. We conducted an RDS study to estimate the cumulative lifetime abortion incidence in Soweto,…
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Keywords:
abortion;
incidence;
driven sampling;
cumulative lifetime ... See more keywords
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Published in 2023 at "American journal of epidemiology"
DOI: 10.1093/aje/kwad116
Abstract: It is challenging to quantitatively measure vulnerability and risk factors of refugees and migrants residing outside of formal settlement settings. For hard-to-reach populations without available sampling frames, researchers have increasingly turned to novel sampling and…
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Keywords:
reach populations;
driven sampling;
refugees migrants;
hard reach ... See more keywords
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Published in 2020 at "Biometrika"
DOI: 10.1093/biomet/asz067
Abstract: Summary Respondent-driven sampling is an approach for estimating features of populations that are difficult to access using standard survey tools, e.g., the fraction of injection drug users who are HIV positive. Baraff et al. (2016)…
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Keywords:
driven sampling;
respondent driven;
consistency tree;
tree bootstrap ... See more keywords
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Published in 2024 at "Royal Society Open Science"
DOI: 10.1098/rsos.231283
Abstract: Are children and adults sensitive to gaps in their knowledge, and do they actively elicit information to resolve such knowledge gaps? In a cross-situational word learning task, we asked 5-year-olds, 6- to 9-year-olds and adults…
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Keywords:
uncertainty driven;
sampling behaviour;
year olds;
driven sampling ... See more keywords
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Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3364115
Abstract: Electrocardiogram (ECG) data’s high dimensionality challenges real-time arrhythmia classification. Our approach employs functional approximation to condense ECG recordings into a compact feature set for simpler classification using Chebyshev polynomials. These polynomials, with 200 time points…
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Keywords:
classification;
event driven;
driven sampling;
classification event ... See more keywords
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Published in 2017 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2017.2745205
Abstract: Being a powerful appearance model, compressive random projection derives effective Haar-like features from non-rotated 4-D-parameterized rectangles, thus supporting fast and reliable object tracking. In this paper, we show that such successful fast compressive tracking scheme…
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Keywords:
compressive tracking;
driven sampling;
data driven;
structure regularized ... See more keywords