ArticleStatistics in medicine2022
Bayesian kernel machine regression-causal mediation analysis.
Article in Statistics in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 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
30 citing papers in PubMed, 3 citations in OpenAlex.
- Bayesian Causal Methods for Environmental Accountability Studies with Heterogeneous Effects.Current environmental health reports · 2026Review
- Safety of sirolimus in pediatric vascular anomalies: a BKMR-PopPK exposure-response framework for individualized risk and dosing.World journal of pediatrics : WJP · 2026Article
- Associations of endocrine disrupting chemicals with anogenital distance across infancy.The Journal of clinical endocrinology and metabolism · 2026Observational
- Variable selection-combined causal mediation analysis for continuous treatments with application to large-dimensional biomedical data.PLoS computational biology · 2026Article
- Combined effects of heavy metals and volatile organic compounds on oxidative stress and cardiovascular risk.American heart journal plus : cardiology research and practice · 2026Article
- Workflow for Statistical Analysis of Environmental Mixtures.Environmental health perspectives · 2026Review
- Advanced Bayesian kernel machine regression for large-scale exposome studies: Making the impossible possible.Innovation (Cambridge (Mass.)) · 2026Article
- A comparison and evaluation of statistical methods for mediation analysis with mixtures of environmental exposures.BMC medical research methodology · 2026Article
- Subgroup analyses and effect modification with Bayesian kernel machine regression.American journal of epidemiology · 2026Article
- Association among persistent chemical pollutants and infectious encephalitis: a mixture exposure and mediation approach.BMC public health · 2025Article
- Prenatal and childhood exposures to heavy metals and their associations with child cognition, motor skills, behaviour and mental health.Essays in biochemistry · 2025Review
- Association Between Multiple Plasma Toxic Metal and Metalloid Exposures and Hypertension in Elderly Chinese Adults.Biological trace element research · 2025Article
- Unveiling the Hidden Threat: Per- and Polyfluoroalkyl Substance Pollution's Distinct Traits and Crucial Impacts on Lung Function in Chinese Plateau Populations.Environment & health (Washington, D.C.) · 2025Article
- High-dimensional mediation analysis to elucidate the role of metabolites in the association between PFAS exposure and reduced SARS-CoV-2 IgG in pregnancy.The Science of the total environment · 2025Article
- Cumulative environmental exposures and metabolic syndrome: A study of heavy metals and volatile organic compounds.Ecotoxicology and environmental safety · 2025Article
- Association of PFAS and Metals with Cardiovascular Disease Risk: Exploring the Mediating Effect of Diet.Environments (Basel, Switzerland) · 2025Article
- Associations of per- and polyfluoroalkyl substances in follicular fluid with polycystic ovarian syndrome in infertile women may be mediated by sex hormones.Frontiers in public health · 2025Article
- Environmental Mixtures Analysis (E-MIX) Workflow and Methods Repository.medRxiv : the preprint server for health sciences · 2024Article
- The Effect of Physical Activity on Combined Cadmium, Lead, and Mercury Exposure.Medical sciences (Basel, Switzerland) · 2024Article
- Methods for the Analysis of Multiple Epigenomic Mediators in Environmental Epidemiology.Current environmental health reports · 2024Review
Corrections and comments
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Authors and funding
10 authors at 7 institutions in 1 country.
Funding
Abstract
Greater understanding of the pathways through which an environmental mixture operates is important to design effective interventions. We present new methodology to estimate natural direct and indirect effects and controlled direct effects of a complex mixture exposure on an outcome through a mediator variable. We implement Bayesian Kernel Machine Regression (BKMR) to allow for all possible interactions and nonlinear effects of (1) the co-exposures on the mediator, (2) the co-exposures and mediator on the outcome, and (3) selected covariates on the mediator and/or outcome. From the posterior predictive distributions of the mediator and outcome, we simulate counterfactuals to obtain posterior samples, estimates, and credible intervals of the mediation effects. Our simulation study demonstrates that when the exposure-mediator and exposure-mediator-outcome relationships are complex, BKMR-Causal Mediation Analysis performs better than current mediation methods. We applied our methodology to quantify the contribution of birth length as a mediator between in utero co-exposure to arsenic, manganese, and lead, and children's neurodevelopmental scores, in a prospective birth cohort in Bangladesh. Among younger children, we found a negative (adverse) association between the metal mixture and neurodevelopment. We also found evidence that birth length mediates the effect of exposure to the metal mixture on neurodevelopment for younger children. If birth length were fixed to its
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Registered trials
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.