Evidence map›Paper›PMID 33521154›Full record

ArticleJournal of survey statistics and methodology2021

Population Size Estimation Using Multiple Respondent-Driven Sampling Surveys.

Brian J Kim, Mark S Handcock

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of survey statistics and methodology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Exploring Preventive Healthcare in a High-Risk Vulnerable Population.International journal of environmental research and public health · 2022
    Article
  7. Article
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

2 authors.

Brian J KimLecturer in the Joint Program in Survey Methodology, University of Maryland, 1218 LeFrak Hall, 7251 Preinkert Dr., College Park, MD 20742, USA.
Mark S HandcockProfessor at the University of California, 8125 Math Sciences Bldg., Box 951554, Los Angeles, CA 90095, USA.

Funding

Scientific and Technical CoreP2CHD041022 · NICHD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HIRAM BELTRAN-SANCHEZ · 2016 to 2026
$6.9M
Innovations in Network Modeling for HIV Prevention StudiesR21HD075714 · NICHD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HANDCOCK, MARK STEPHEN · 2013 to 2014
$402k
NICHD NIH HHS P2C HD041022NICHD NIH HHS R21 HD075714
6 · The paper itself

Abstract

Respondent-driven sampling (RDS) is commonly used to study hard-to-reach populations since traditional methods are unable to efficiently survey members due to the typically highly stigmatized nature of the population. The number of people in these populations is of primary global health and demographic interest and is usually hard to estimate. However, due to the nature of RDS, current methods of population size estimation are insufficient. We introduce a new method of estimating population size that uses concepts from capture-recapture methods while modeling RDS as a successive sampling process. We assess its statistical validity using information from the CDC's National HIV Behavioral Surveillance system in 2009 and 2012.

Indexed as

Capture-recaptureHard-to-reach population samplingModel-based survey samplingNetwork samplingWithout replacement sampling

Identifiers

PMID33521154
PMCPMC7834445

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.