Evidence map›Paper›PMID 31833021›Full record

ArticlePrevention science : the official journal of the Society for Prevention Research2020

The Correspondence Between Causal and Traditional Mediation Analysis: the Link Is the Mediator by Treatment Interaction.

David P MacKinnon, Matthew J Valente, Oscar Gonzalez

Abstract read
In one paragraph

Article in Prevention science : the official journal of the Society for Prevention Research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
73citing papers in PubMed, 3 pooled it
–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

73 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Trial
  6. 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
  7. Using causal mediation to examine self-efficacy as a mechanism through which continuing care interventions reduce alcohol use.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2024
    Trial
  8. Familias Unidas Prevents Youth Internalizing Symptoms: a Baseline Target Moderated Mediation (BTMM) Study.Prevention science : the official journal of the Society for Prevention Research · 2023
    Trial
  9. Time-Varying Mediation of Pharmacological Smoking Cessation Treatments on Smoking Lapse via Craving, Cessation Fatigue, and Negative Mood.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2022
    Trial
  10. Trial
  11. Article
  12. Potential Outcomes Effects in Mediation Designs with Three Experimental Conditions.Prevention science : the official journal of the Society for Prevention Research · 2026
    Article
  13. Article
  14. Article
  15. Article
  16. Internalized stigma, negative affect, and intimate partner violence perpetration among sexual minority couples.Journal of family psychology : JFP : journal of the Division of Family Psychology of the American Psychological Association (Division 43) · 2026
    Article
  17. Indirect Effects of the Coping Power Intervention on Latent Suicidal Thoughts and Behaviors: an Integrative Data Analysis.Prevention science : the official journal of the Society for Prevention Research · 2026
    Article
  18. Article
  19. Article
  20. Review

13 more citing papers are in PubMed but not listed here.

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.

David P MacKinnonDepartment of Psychology, Arizona State University, PO Box 871104, Tempe, AZ, 85287-1104, USA. David.MacKinnon@asu.edu.
Matthew J ValenteCenter for Children and Families, Department of Psychology, Florida International University, 11200 SW 8th St, Miami, FL, 33199, USA.
Oscar GonzalezDepartment of Psychology and Neuroscience, University of North Carolina at Chapel Hill, 245 E. Cameron Ave., Chapel Hill, NC, 27559, USA.

Funding

Estimating Mediation Effects in Prevention StudiesR37DA009757 · NIDA · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI MACKINNON, DAVID P · 2015 to 2024
$3.5M
ESTIMATING MEDIATION EFFECTS IN PREVENTION STUDIESR01DA009757 · NIDA · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI MACKINNON, DAVID P · 1996 to 2013
$2.6M
Modern Longitudinal Mediation Methods for Prevention StudiesF31DA043317 · NIDA · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI VALENTE, MATTHEW JOHN · 2017 to 2018
$65k
NIDA NIH HHS F31 DA043317NIDA NIH HHS F31DA043317NIDA NIH HHS R01 DA009757NIDA NIH HHS R37 DA009757NIDA NIH HHS R37DA09757
6 · The paper itself

Abstract

Mediation analysis is a methodology used to understand how and why behavioral phenomena occur. New mediation methods based on the potential outcomes framework are a seminal advancement for mediation analysis because they focus on the causal basis of mediation. Despite the importance of the potential outcomes framework in other fields, the methods are not well known in prevention and other disciplines. The interaction of a treatment (X) and a mediator (M) on an outcome variable (Y) is central to the potential outcomes framework for causal mediation analysis and provides a way to link traditional and modern causal mediation methods. As described in the paper, for a continuous mediator and outcome, if the XM interaction is zero, then potential outcomes estimators of the mediated effect are equal to the traditional model estimators. If the XM interaction is nonzero, the potential outcomes estimators correspond to simple direct and simple mediated contrasts for the treatment and the control groups in traditional mediation analysis. Links between traditional and causal mediation estimators clarify the meaning of potential outcomes framework mediation quantities. A simulation study demonstrates that testing for a XM interaction that is zero in the population can reduce power to detect mediated effects, and ignoring a nonzero XM interaction in the population can also reduce power to detect mediated effects in some situations. We recommend that prevention scientists incorporate evaluation of the XM interaction in their research.

Indexed as

Preventive MedicineResearchRoot Cause AnalysisAlgorithmsData Interpretation, StatisticalHumansRandomized Controlled Trials as TopicSubstance-Related DisordersTestosterone CongenersTestosterone CongenersCausal effectsCounterfactualEstimationMediationMethods

Identifiers

PMID31833021
PMCPMC6992469

What OpenQuestion holds

Textmetadata
LicenceTDM
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.