ArticleStatistical methods in medical research2018
Causal mediation analysis with multiple causally non-ordered mediators.
Article in Statistical methods in medical research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
What it found
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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.
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Who cites it
22 citing papers in PubMed.
- Trial
- Practical challenges in mediation analysis: a guide for applied researchers.Health services & outcomes research methodology · 2025Article
- Importance of Circulating Leptin and Adiponectin in the Causal Pathways Between Obesity and the Development of Colorectal Cancer in Japanese Men.Journal of epidemiology · 2024Article
- TESTING FOR THE CAUSAL MEDIATION EFFECTS OF MULTIPLE MEDIATORS USING THE KERNEL MACHINE DIFFERENCE METHOD IN GENOME-WIDE EPIGENETIC STUDIES.The annals of applied statistics · 2024Article
- Prenatal Exposure to Opioids and Neurodevelopmental Disorders in Children: A Bayesian Mediation Analysis.American journal of epidemiology · 2024Article
- Bayesian network mediation analysis with application to the brain functional connectome.Statistics in medicine · 2022Article
- Decomposition of the total effect for two mediators: A natural mediated interaction effect framework.Journal of causal inference · 2022Article
- Assessing Potential Outcomes Mediation in HIV Interventions.AIDS and behavior · 2021Article
- Physical Fitness and Motor Competence in Chinese and German Elementary School Children in Relation to Different Physical Activity Settings.Children (Basel, Switzerland) · 2021Article
- G-Computation to Causal Mediation Analysis With Sequential Multiple Mediators-Investigating the Vulnerable Time Window of HBV Activity for the Mechanism of HCV Induced Hepatocellular Carcinoma.Frontiers in public health · 2021Article
- Statistical methods for mediation analysis in the era of high-throughput genomics: Current successes and future challenges.Computational and structural biotechnology journal · 2021Review
- Bayesian shrinkage estimation of high dimensional causal mediation effects in omics studies.Biometrics · 2020Article
- Sparse Principal Component based High-Dimensional Mediation Analysis.Computational statistics & data analysis · 2020Article
- Bridging Personality and Online Prosocial Behavior: The Roles of Empathy, Moral Identity, and Social Self-Efficacy.Frontiers in psychology · 2020Article
- Bayesian Causal Mediation Analysis with Multiple Ordered Mediators.Statistical modelling · 2019Article
- Continuous-time causal mediation analysis.Statistics in medicine · 2019Article
- The Impact of Antidepressants on the Risk of Developing Obstructive Sleep Apnea in Posttraumatic Stress Disorder: A Nationwide Cohort Study in Taiwan.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2019Article
- BAYESIAN METHODS FOR MULTIPLE MEDIATORS: RELATING PRINCIPAL STRATIFICATION AND CAUSAL MEDIATION IN THE ANALYSIS OF POWER PLANT EMISSION CONTROLS.The annals of applied statistics · 2019Article
- Generalized causal mediation and path analysis: Extensions and practical considerations.Statistical methods in medical research · 2019Article
- Causality on longitudinal data: Stable specification search in constrained structural equation modeling.Statistical methods in medical research · 2018Article
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Authors and funding
3 authors.
Funding
Abstract
In many health studies, researchers are interested in estimating the treatment effects on the outcome around and through an intermediate variable. Such causal mediation analyses aim to understand the mechanisms that explain the treatment effect. Although multiple mediators are often involved in real studies, most of the literature considered mediation analyses with one mediator at a time. In this article, we consider mediation analyses when there are causally non-ordered multiple mediators. Even if the mediators do not affect each other, the sum of two indirect effects through the two mediators considered separately may diverge from the joint natural indirect effect when there are additive interactions between the effects of the two mediators on the outcome. Therefore, we derive an equation for the joint natural indirect effect based on the individual mediation effects and their interactive effect, which helps us understand how the mediation effect works through the two mediators and relative contributions of the mediators and their interaction. We also discuss an extension for three mediators. The proposed method is illustrated using data from a randomized trial on the prevention of dental caries.
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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.