Evidence map›Paper›PMID 33716387›Full record

ArticleCommunications in statistics: Simulation and computation2021

Design-based single-mediator approach for complex survey data.

Thanh Pham, Trung Ha, Julia N Soulakova

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Communications in statistics: Simulation and computation, 2021. 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.

Thanh PhamBurnett School of Biomedical Sciences, College of Medicine, University of Central Florida, Orlando, FL, USA.
Trung HaBurnett School of Biomedical Sciences, College of Medicine, University of Central Florida, Orlando, FL, USA.
Julia N SoulakovaBurnett School of Biomedical Sciences, College of Medicine, University of Central Florida, Orlando, FL, USA.

Funding

Evaluating racial and ethnic disparities in the success of national health care efforts to promote smoking cessationR01MD009718 · NIMHD · UNIVERSITY OF NEBRASKA LINCOLN · PI SOULAKOVA, JULIA · 2015 to 2018
$570k
NIMHD NIH HHS R01 MD009718
6 · The paper itself

Abstract

We discuss a two-step approach to test for a mediated effect using data gathered via complex sampling. The approach incorporates design-based multiple linear regressions and a generalized Sobel's method to test for significance of a mediated effect. We illustrate the applications to a study of nicotine dependence, race/ethnicity and cigarette purchase price among daily smokers in the U.S. The study goal was to assess significance of cigarette purchase price as a mediator in the association between race/ethnicity (non-Hispanic Black/African American, non-Hispanic White) and nicotine dependence measured in terms of the average number of cigarettes smoked per day. The single-mediator model incorporated 18 covariates as control factors. The results indicated a significant mediated effect of cigarette purchase price on the association. However, the relative effect size of 5% indicated low practical significance of the cigarette purchase price as a mediator in the association between race/ethnicity and nicotine dependence. The approach can be modified to studies where data are gathered via other types of complex sampling.

Indexed as

Balanced repeated replicationsMulti-stage samplingVariance estimation in complex surveys

Identifiers

PMID33716387
PMCPMC7954225

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.