Evidence map›Paper›PMID 37410423›Full record

ArticleHealth psychology : official journal of the Division of Health Psychology, American Psychological Association2023

Tutorial on causal mediation analysis with binary variables: An application to health psychology research.

Shu Xu, Donna L Coffman, George Luta, Raymond S Niaura

Abstract read
In one paragraph

Article in Health psychology : official journal of the Division of Health Psychology, American Psychological Association, 2023. 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.

  1. Testing autonomous motivation as a mechanism of anticipated regret intervention techniques for seasonal flu vaccination.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2025
    Trial
  2. Observational
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  4. Observational
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  11. Causal Mediation Analysis of FoodbornePathogens (Basel, Switzerland) · 2024
    Article
  12. 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

4 authors.

Shu XuDepartment of Biostatistics, New York University.ORCID 0000-0001-6968-1674
Donna L CoffmanDepartment of Psychology, University of South Carolina.
George LutaDepartment of Biostatistics, Bioinformatics, and Biomathematics, Georgetown University.
Raymond S NiauraDepartment of Social Behavioral Science, New York University.

Funding

Research Project 3: Modeling the Impact of Tobacco Control Policies on Polytobacco Use and Associated Health DisparitiesU54CA229974 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Ritesh I Mistry · 2018 to 2026
$39.2M
Developing Methodology to examine causal mediation of Time-Varying Effects in Smoking Cessation TreatmentsR01CA229542 · NCI · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI COFFMAN, DONNA LYNN · 2018 to 2021
$1.3M
Using Causal Machine Learning Methods to Inform Tobacco Regulatory ScienceK01DA058408 · NIDA · NEW YORK UNIVERSITY · PI Shu Xu · 2023 to 2026
$736k
NCI NIH HHS R01 CA229542NCI NIH HHS U54 CA229974NIDA NIH HHS K01 DA058408
6 · The paper itself

Abstract

Mediation analysis has been widely applied to explain why and assess the extent to which an exposure or treatment has an impact on the outcome in health psychology studies. Identifying a mediator or assessing the impact of a mediator has been the focus of many scientific investigations. This tutorial aims to introduce causal mediation analysis with binary exposure, mediator, and outcome variables, with a focus on the resampling and weighting methods, under the potential outcomes framework for estimating natural direct and indirect effects. We emphasize the importance of the temporal order of the study variables and the elimination of confounding. We define the causal effects in a hypothesized causal mediation chain in the context of one exposure, one mediator, and one outcome variable, all of which are binary variables. Two commonly used and actively maintained R packages,

Indexed as

Behavioral MedicineModels, StatisticalCausalityHumansMediation Analysis

Identifiers

PMID37410423
PMCPMC10615709

What OpenQuestion holds

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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.