Evidence map›Paper›PMID 24079925›Full record

ArticlePsychological methods2014

Robust mediation analysis based on median regression.

Ying Yuan, David P Mackinnon

Abstract read
In one paragraph

Article in Psychological methods, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. A Review of High-Dimensional Mediation Analyses in DNA Methylation Studies.Methods in molecular biology (Clifton, N.J.) · 2022
    Review
  8. Gene-based mediation analysis in epigenetic studies.Briefings in bioinformatics · 2021
    Article
  9. When Does Physician Use of AI Increase Liability?Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2021
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Incorporating nonlinearity into mediation analyses.BMC medical research methodology · 2017
    Article
  15. Review
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

2 authors.

Ying YuanDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center.
David P MackinnonDepartment of Psychology, Arizona State University.

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
STATISTICAL METHODS FOR MENTAL HEALTH PREVENTIVE TRIALSR01MH040859 · NIMH · UNIVERSITY OF SOUTH FLORIDA · PI BROWN, C. HENDRICKS · 1986 to 2014
$7.5M
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
Bayesian Adaptive Designs for Oncology Clinical Trials with Late-onset OutcomesR01CA154591 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI YUAN, YING · 2011 to 2014
$1.2M
NCI NIH HHS P30 CA016672NCI NIH HHS R01 CA154591NIDA NIH HHS DA09757NIDA NIH HHS R01 DA009757NIDA NIH HHS R37 DA009757NIMH NIH HHS MH40859NIMH NIH HHS R01 MH040859
6 · The paper itself

Abstract

Mediation analysis has many applications in psychology and the social sciences. The most prevalent methods typically assume that the error distribution is normal and homoscedastic. However, this assumption may rarely be met in practice, which can affect the validity of the mediation analysis. To address this problem, we propose robust mediation analysis based on median regression. Our approach is robust to various departures from the assumption of homoscedasticity and normality, including heavy-tailed, skewed, contaminated, and heteroscedastic distributions. Simulation studies show that under these circumstances, the proposed method is more efficient and powerful than standard mediation analysis. We further extend the proposed robust method to multilevel mediation analysis, and demonstrate through simulation studies that the new approach outperforms the standard multilevel mediation analysis. We illustrate the proposed method using data from a program designed to increase reemployment and enhance mental health of job seekers.

Indexed as

PsychologyStatistics as TopicHumansLeast-Squares AnalysisRegression AnalysisSocial Sciences

Identifiers

PMID24079925
PMCPMC3969875

What OpenQuestion holds

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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.