Evidence map›Paper›PMID 23243335›Full record

ArticleSocial networks2012

The analysis of multiple ties in longitudinal egocentric network data: A case study on bidirectional relationships between trust and drug use.

W Scott Comulada, Stephen Q Muth, Carl A Latkin

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Social networks, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

W Scott ComuladaDepartment of Psychiatry and Biobehavioral Sciences, University of California at Los Angeles, United States; scomulad@ucla.edu.
Stephen Q Muth
Carl A Latkin

Funding

A Network & Dyad HIV Prevention Intervention for Intravenous Drug UserR01DA016555 · NIDA · JOHNS HOPKINS UNIVERSITY · PI LATKIN, CARL A · 2003 to 2007
$3.3M
THE LONG-TERM IMPACT OF A NETWORK OUTREACH INTERVENTIONR01DA013142 · NIDA · JOHNS HOPKINS UNIVERSITY · PI LATKIN, CARL A · 2000 to 2002
$1.7M
Predicting HIV-related Behaviors of Social Networks in a MPS EnvironmentK01MH089270 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI COMULADA, WARREN SCOTT · 2010 to 2014
$736k
NIDA NIH HHS R01 DA013142NIDA NIH HHS R01 DA016555NIMH NIH HHS K01 MH089270
6 · The paper itself

Abstract

We extend multi-level models to examine single egocentric network ties to the joint analysis of paired dynamic ties. Two analytic challenges are addressed. First, inference needs to account for multiple layers of nesting: ties are nested within pairs, pairs are nested within time points, and time points are nested within egos. Second, the focus is on the relationship between two dynamic ties; specification of outcome and predictor may be difficult. Instead, we treat both ties as outcomes. Our approach is used to analyze trust and reported drug use between egos and alters over time in a Bayesian framework.

Identifiers

PMID23243335
PMCPMC3519439

What OpenQuestion holds

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Registered trials

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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.