Evidence map›Paper›PMID 34319832›Full record

ArticleStatistical methods in medical research2021

General regression methods for respondent-driven sampling data.

Mamadou Yauck, Erica Em Moodie, Herak Apelian, Alain Fourmigue, Daniel Grace, Trevor Hart, Gilles Lambert, Joseph Cox

Open access · hybridAbstract read
In one paragraph

Article in Statistical methods in medical research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
0.6field-weighted citation impact, top 33% of its field
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

13 citing papers in PubMed, 5 citations in OpenAlex.

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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

8 authors at 4 institutions in 1 country.

Mamadou YauckDepartment of Epidemiology, Biostatistics an Occupational Health, McGill University, Montreal, Quéebec, Canada.ORCID 0000-0003-3841-8990
Erica Em MoodieDepartment of Epidemiology, Biostatistics an Occupational Health, McGill University, Montreal, Quéebec, Canada.
Herak ApelianDepartment of Epidemiology, Biostatistics an Occupational Health, McGill University, Montreal, Quéebec, Canada.
Alain FourmigueDepartment of Epidemiology, Biostatistics an Occupational Health, McGill University, Montreal, Quéebec, Canada.
Daniel GraceDalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.
Trevor HartDepartment of Psychology, Ryerson University, Toronto, Ontario, Canada.
Gilles LambertInstitut National de Santé Publique du Québec, Montreal, Québec, Canada.
Joseph CoxDepartment of Epidemiology, Biostatistics an Occupational Health, McGill University, Montreal, Quéebec, Canada.
McGill University · CAInstitut National de Santé Publique du Québec · CAToronto Metropolitan University · CAUniversity of Toronto · CA

Funding

CIHR TE2-138299
6 · The paper itself

Abstract

Respondent-driven sampling is a variant of link-tracing sampling techniques that aim to recruit hard-to-reach populations by leveraging individuals' social relationships. As such, a respondent-driven sample has a graphical component which represents a partially observed network of unknown structure. Moreover, it is common to observe

Indexed as

HIV InfectionsSexual and Gender MinoritiesHomosexuality, MaleHumansMaleSampling StudiesSurveys and QuestionnairesDesign weightshidden population samplinghomophilyidentifiationpeer effectssimultaneous autoregressive modelssocial networks

Identifiers

PMID34319832
PMCPMC8424528
OpenAlexW3109789378

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.