ArticleAmerican journal of epidemiology2018
Decomposition of the Total Effect in the Presence of Multiple Mediators and Interactions.
Article in American journal of epidemiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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Who cites it
29 citing papers in PubMed.
- Trial
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- Systemic immune-inflammation index mediates the association between abdominal obesity and serum klotho levels.Scientific reports · 2025Article
- Asking Why Is Necessary to Address Health Disparities: A Critical Approach for Solution-Oriented Environmental Epidemiological Research.Environmental health perspectives · 2024Article
- Investigating Exposure and Hazards of Micro- and Nanoplastics During Pregnancy and Early Life (AURORA Project): Protocol for an Interdisciplinary Study.JMIR research protocols · 2024Article
- Multi-Trait Body Shape Phenotypes and Breast Cancer Risk in Postmenopausal Women: A Causal Mediation Analysis in the UK Biobank Cohort.Journal of epidemiology and global health · 2024Article
- Model Selection for Exposure-Mediator Interaction.Data science in science · 2024Article
- Assessment of the prognostic value of preoperative high-sensitive troponin T for myocardial injury and long-term mortality for groups at high risk for cardiovascular events following noncardiac surgery: a retrospective cohort study.Frontiers in medicine · 2023Article
- Racial and ethnic disparities in preterm birth: a mediation analysis incorporating mixtures of polybrominated diphenyl ethers.Frontiers in reproductive health · 2023Article
- Applied causal inference methods for sequential mediators.BMC medical research methodology · 2022Article
- Associations between long-term drought and diarrhea among children under five in low- and middle-income countries.Nature communications · 2022Article
- Assessing proximate intermediates between ambient temperature, hospital admissions, and mortality in hemodialysis patients.Environmental research · 2022Article
- Decomposition of the total effect for two mediators: A natural mediated interaction effect framework.Journal of causal inference · 2022Article
- Four-way decomposition of effect of cigarette smoking and body mass index on serum lipid profiles.PloS one · 2022Article
- Associations and pathways between residential greenness and metabolic syndromes in Fujian Province.Frontiers in public health · 2022Article
- Mediation analysis methods used in observational research: a scoping review and recommendations.BMC medical research methodology · 2021Article
- First trimester mechanisms of gestational sac placental and foetal teratogenicity: a framework for birth cohort studies.Human reproduction update · 2021Review
- Latent class mediator for multiple indicators of mediation.Statistics in medicine · 2021Article
- A toolkit for the application of placental-fetal molecular biomarkers in epidemiologic studies of the fetal origins of chronic disease.Current epidemiology reports · 2021Article
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2 authors.
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Abstract
Mediation analysis allows decomposing a total effect into a direct effect of the exposure on the outcome and an indirect effect operating through a number of possible hypothesized pathways. Recent studies have provided formal definitions of direct and indirect effects when multiple mediators are of interest and have described parametric and semiparametric methods for their estimation. Investigating direct and indirect effects with multiple mediators, however, can be challenging in the presence of multiple exposure-mediator and mediator-mediator interactions. In this paper we derive a decomposition of the total effect that unifies mediation and interaction when multiple mediators are present. We illustrate the properties of the proposed framework in a secondary analysis of a pragmatic trial for the treatment of schizophrenia. The decomposition is employed to investigate the interplay of side effects and psychiatric symptoms in explaining the effect of antipsychotic medication on quality of life in schizophrenia patients. Our result offers a valuable tool to identify the proportions of total effect due to mediation and interaction when more than one mediator is present, providing the finest decomposition of the total effect that unifies multiple mediators and interactions.
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