Evidence map›Paper›PMID 24360650›Full record

ArticleDrug and alcohol dependence2014

A simulative comparison of respondent driven sampling with incentivized snowball sampling--the "strudel effect".

V Anna Gyarmathy, Lisa G Johnston, Irma Caplinskiene, Saulius Caplinskas, Carl A Latkin

Abstract readComparative Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Drug and alcohol dependence, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

V Anna GyarmathyJohns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA. Electronic address: vgyarmat@jhsph.edu.
Lisa G JohnstonUniversity of California, San Francisco, Global Health Sciences, San Francisco, CA, USA; Tulane University, School of International Public Health and Tropical Medicine, New Orleans, LA, USA.
Irma CaplinskieneCentre for Communicable Diseases and AIDS, Vilnius, Lithuania; M. Romeris University, Social Policy Faculty, Vilnius, Lithuania.
Saulius CaplinskasCentre for Communicable Diseases and AIDS, Vilnius, Lithuania; M. Romeris University, Social Policy Faculty, Vilnius, Lithuania.
Carl A LatkinJohns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.

Funding

A Network & Dyad HIV Prevention Intervention for Intravenous Drug UserR01DA016555 · NIDA · JOHNS HOPKINS UNIVERSITY · PI LATKIN, CARL A · 2003 to 2007
$3.3M
NIDA NIH HHS 1R01DA016555-02-SNIDA NIH HHS R01 DA016555
6 · The paper itself

Abstract

backgroundRespondent driven sampling (RDS) and incentivized snowball sampling (ISS) are two sampling methods that are commonly used to reach people who inject drugs (PWID).

methodsWe generated a set of simulated RDS samples on an actual sociometric ISS sample of PWID in Vilnius, Lithuania ("original sample") to assess if the simulated RDS estimates were statistically significantly different from the original ISS sample prevalences for HIV (9.8%), Hepatitis A (43.6%), Hepatitis B (Anti-HBc 43.9% and HBsAg 3.4%), Hepatitis C (87.5%), syphilis (6.8%) and Chlamydia (8.8%) infections and for selected behavioral risk characteristics.

resultsThe original sample consisted of a large component of 249 people (83% of the sample) and 13 smaller components with 1-12 individuals. Generally, as long as all seeds were recruited from the large component of the original sample, the simulation samples simply recreated the large component. There were no significant differences between the large component and the entire original sample for the characteristics of interest. Altogether 99.2% of 360 simulation sample point estimates were within the confidence interval of the original prevalence values for the characteristics of interest.

conclusionsWhen population characteristics are reflected in large network components that dominate the population, RDS and ISS may produce samples that have statistically non-different prevalence values, even though some isolated network components may be under-sampled and/or statistically significantly different from the main groups. This so-called "strudel effect" is discussed in the paper.

Indexed as

MotivationSampling StudiesSociometric TechniquesData CollectionFemaleHumansLithuaniaMaleSexual BehaviorSubstance Abuse, IntravenousIncentivized snowball samplingPeople who inject drugsPrevalence estimatesRespondent driven samplingSampling methodologySimulations

Identifiers

PMID24360650
PMCPMC3941002

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.