ArticleStructural equation modeling : a multidisciplinary journal2018
A Tutorial in Bayesian Potential Outcomes Mediation Analysis.
Article in Structural equation modeling : a multidisciplinary journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.
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Who cites it
31 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Cannabis use and trauma-focused treatment for co-occurring posttraumatic stress disorder and substance use disorders: A meta-analysis of individual patient data.Journal of anxiety disorders · 2024Pooled it
- Trial
- Project Harmony 2.0: protocol for an updated and expanded individual patient data meta-analysis and virtual clinical trial of treatments for comorbid PTSD and substance use disorders.European journal of psychotraumatology · 2026Article
- Unraveling Reading Achievement Through Educational Leadership, School Actions to Sustain Learning, Digital Self-Efficacy, and ICT-Related Factors: A Multilevel Mediation Analysis of PISA 2022 Türkiye Data.Journal of Intelligence · 2026Article
- Echoes of childhood trauma: the relationship between adverse childhood experiences, brain structure, and mental health in aging adults.Translational psychiatry · 2026Article
- Mediation analysis to identify causes of racial disparity in health outcomes: a comparison of model-based and outcome-based approaches.BMC medical research methodology · 2026Article
- How instructional leadership and creativity related factors shape students' reading performance: evidence from a Bayesian multilevel mediation approach using PISA 2022 Türkiye data.Frontiers in psychology · 2026Article
- How changes in post-traumatic stress disorder (PTSD) severity mediate substance use disorder (SUD) severity during and after treatment for co-occurring PTSD and SUD: Results from Project Harmony.Addiction (Abingdon, England) · 2025Observational
- Bayesian Mediation Analysis for Time-to-Event Outcome: Investigating Racial Disparity in Breast Cancer Survival.Communications in statistics: theory and methods · 2025Article
- Mediation Analysis of Racial Disparity for Infant Mortality Using Bayesian Estimation of Potential Outcomes.Journal of clinical medicine · 2024Article
- Article
- Causal moderated mediation analysis: Methods and software.Behavior research methods · 2024Article
- Prenatal Exposure to Opioids and Neurodevelopmental Disorders in Children: A Bayesian Mediation Analysis.American journal of epidemiology · 2024Article
- Mitigating Multiple Sources of Bias in a Quasi-Experimental Integrative Data Analysis: Does Treating Childhood Anxiety Prevent Substance Use Disorders in Late Adolescence/Young Adulthood?Prevention science : the official journal of the Society for Prevention Research · 2023Article
- Bayesian hypothesis testing of mediation: Methods and the impact of prior odds specifications.Behavior research methods · 2023Article
- Estimating latent baseline-by-treatment interactions in statistical mediation analysis.Structural equation modeling : a multidisciplinary journal · 2023Article
- Bayesian mediation analysis methods to explore racial/ethnic disparities in anxiety among cancer survivors.Behaviormetrika · 2023Article
- Mediators, Moderators, and Covariates: Matching Analysis Approach for Improved Precision in Cognitive-Communication Rehabilitation Research.Journal of speech, language, and hearing research : JSLHR · 2022Article
- Design and methodology for an integrative data analysis of coping power: Direct and indirect effects on adolescent suicidality.Contemporary clinical trials · 2022Article
- Understanding the relationship between parenting style and chronic pain in adolescents: a structural equation modelling approach.BMC psychology · 2021Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Statistical mediation analysis is used to investigate intermediate variables in the relation between independent and dependent variables. Causal interpretation of mediation analyses is challenging because randomization of subjects to levels of the independent variable does not rule out the possibility of unmeasured confounders of the mediator to outcome relation. Furthermore, commonly used frequentist methods for mediation analysis compute the probability of the data given the null hypothesis, which is not the probability of a hypothesis given the data as in Bayesian analysis. Under certain assumptions, applying the potential outcomes framework to mediation analysis allows for the computation of causal effects, and statistical mediation in the Bayesian framework gives indirect effects probabilistic interpretations. This tutorial combines causal inference and Bayesian methods for mediation analysis so the indirect and direct effects have both causal and probabilistic interpretations. Steps in Bayesian causal mediation analysis are shown in the application to an empirical example.
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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.