ArticleJournal of the American Statistical Association2021
Bayesian Factor Analysis for Inference on Interactions.
Article in Journal of the American Statistical Association, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
What it found
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Who cites it
28 citing papers in PubMed.
- Early Sodium-Glucose Cotransporter-2 Inhibitor Use After Acute Kidney Injury in Type 2 Diabetes.JAMA network open · 2026Article
- Workflow for Statistical Analysis of Environmental Mixtures.Environmental health perspectives · 2026Review
- Semiparametric discovery and estimation of interaction in mixed exposures using stochastic interventions.Journal of causal inference · 2026Article
- Robust Statistical Approaches to Understanding the Causal Effect of Air Pollution Mixtures.Research report (Health Effects Institute) · 2025Article
- Prenatal Phthalate Exposures and Adiposity Outcomes Trajectories: A Multivariate Bayesian Factor Regression Approach.International journal of environmental research and public health · 2025Article
- TREATMENT EFFECT HETEROGENEITY AND IMPORTANCE MEASURES FOR MULTIVARIATE CONTINUOUS TREATMENTS.The annals of applied statistics · 2025Article
- Bayesian Transfer Learning.Statistical science : a review journal of the Institute of Mathematical Statistics · 2025Article
- Statistical Methods for Chemical Mixtures: A Roadmap for Practitioners Using Simulation Studies and a Sample Data Analysis in the PROTECT Cohort.Environmental health perspectives · 2025Article
- LOW-RANK LONGITUDINAL FACTOR REGRESSION WITH APPLICATION TO CHEMICAL MIXTURES.The annals of applied statistics · 2025Article
- INFERRING SYNERGISTIC AND ANTAGONISTIC INTERACTIONS IN MIXTURES OF EXPOSURES.The annals of applied statistics · 2025Article
- IMPACT OF REAL-LIFE ENVIRONMENTAL EXPOSURES ON REPRODUCTION: Phthalates disrupt female reproductive health: a call for enhanced investigation into mixtures.Reproduction (Cambridge, England) · 2025Review
- Environmental Mixtures Analysis (E-MIX) Workflow and Methods Repository.medRxiv : the preprint server for health sciences · 2024Article
- Optimising Bioprinting Nozzles through Computational Modelling and Design of Experiments.Biomimetics (Basel, Switzerland) · 2024Review
- Power Analysis of Exposure Mixture Studies via Monte Carlo Simulations.Statistics in biosciences · 2024Article
- Combined Exposures and Mixtures Research: An Enduring NIEHS Priority.Environmental health perspectives · 2024Article
- Dietary patterns associated with the incidence of hypertension among adult Japanese males: application of machine learning to a cohort study.European journal of nutrition · 2024Article
- A review of common statistical methods for dealing with multiple pollutant mixtures and multiple exposures.Frontiers in public health · 2024Review
- Article
- Nutritional Modulation of Associations between Prenatal Exposure to Persistent Organic Pollutants and Childhood Obesity: A Prospective Cohort Study.Environmental health perspectives · 2023Article
- Semi-supervised empirical Bayes group-regularized factor regression.Biometrical journal. Biometrische Zeitschrift · 2022Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
This article is motivated by the problem of inference on interactions among chemical exposures impacting human health outcomes. Chemicals often co-occur in the environment or in synthetic mixtures and as a result exposure levels can be highly correlated. We propose a latent factor joint model, which includes shared factors in both the predictor and response components while assuming conditional independence. By including a quadratic regression in the latent variables in the response component, we induce flexible dimension reduction in characterizing main effects and interactions. We propose a Bayesian approach to inference under this Factor analysis for INteractions (FIN) framework. Through appropriate modifications of the factor modeling structure, FIN can accommodate higher order interactions. We evaluate the performance using a simulation study and data from the National Health and Nutrition Examination Survey (NHANES). Code is available on GitHub.
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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.