ReviewInternational journal of environmental research and public health2022
Powering Research through Innovative Methods for Mixtures in Epidemiology (PRIME) Program: Novel and Expanded Statistical Methods.
Review in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers, 3 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
73 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Environmental exposures in autoimmune inflammatory rheumatic diseases: a priority-based evidence map, immune-mechanism integration audit and research agenda.Frontiers in immunology · 2026Pooled it
- A systematic review of air pollution exposure and brain structure and function during development.Environmental research · 2025Pooled it
- Systematic evidence mapping informs a class-based approach to assessing personal care products and pubertal timing.Environment international · 2023Pooled it
- Everything All at Once: On Choosing an Estimand for Multi-component Environmental Exposures.Epidemiology (Cambridge, Mass.) · 2026Article
- Article
- Review
- Environmental Mixture-Health Associations: Current Analytical Practice and Reporting Recommendations.China CDC weekly · 2026Article
- Effect measure modification in mixtures and public health.American journal of epidemiology · 2026Article
- Development of a Biology-Informed Chemical Mixture Index for Oxidative Stress and Mortality in NHANES 2005-2010: A Survey-Weighted Quantile G-Computation Approach.medRxiv : the preprint server for health sciences · 2026Article
- Housing mobility program effects on ambient fine particulate matter exposure and childhood asthma morbidity.Annals of the American Thoracic Society · 2026Article
- Relevance and challenges of exposome studies for environmental health research.Environmental health : a global access science source · 2026Review
- Workflow for Statistical Analysis of Environmental Mixtures.Environmental health perspectives · 2026Review
- Micronutrients as Mitigators of Endocrine Disrupting Chemical Health Effects: A Scoping Review and Framework for Epidemiologic Studies.Current environmental health reports · 2026Article
- Scalable Gaussian process regression via median posterior inference for estimating the health effects of an environmental mixture.Biometrics · 2026Article
- Subgroup analyses and effect modification with Bayesian kernel machine regression.American journal of epidemiology · 2026Article
- When are novel methods for analyzing complex chemical mixtures in epidemiology beneficial?Environmental epidemiology (Philadelphia, Pa.) · 2026Review
- Exposure to heavy metals and trace elements and risk of dyslipidemia: a nested case-control analysis in rural adults.Frontiers in endocrinology · 2026Article
- Tailoring Bayesian Additive Regression Trees (BART) for environmental mixture studies.PloS one · 2026Article
- Health disparities and industrial emissions: a case study of semiconductor manufacturing and asthma morbidity in Austin, Texas.Population and environment · 2026Article
- Challenges and pitfalls in analyzing, reporting, and interpreting health effects related to occupational and environmental exposures.Frontiers in epidemiology · 2026Article
13 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
Abstract
Humans are exposed to a diverse mixture of chemical and non-chemical exposures across their lifetimes. Well-designed epidemiology studies as well as sophisticated exposure science and related technologies enable the investigation of the health impacts of mixtures. While existing statistical methods can address the most basic questions related to the association between environmental mixtures and health endpoints, there were gaps in our ability to learn from mixtures data in several common epidemiologic scenarios, including high correlation among health and exposure measures in space and/or time, the presence of missing observations, the violation of important modeling assumptions, and the presence of computational challenges incurred by current implementations. To address these and other challenges, NIEHS initiated the Powering Research through Innovative methods for Mixtures in Epidemiology (PRIME) program, to support work on the development and expansion of statistical methods for mixtures. Six independent projects supported by PRIME have been highly productive but their methods have not yet been described collectively in a way that would inform application. We review 37 new methods from PRIME projects and summarize the work across previously published research questions, to inform methods selection and increase awareness of these new methods. We highlight important statistical advancements considering data science strategies, exposure-response estimation, timing of exposures, epidemiological methods, the incorporation of toxicity/chemical information, spatiotemporal data, risk assessment, and model performance, efficiency, and interpretation. Importantly, we link to software to encourage application and testing on other datasets. This review can enable more informed analyses of environmental mixtures. We stress training for early career scientists as well as innovation in statistical methodology as an ongoing need. Ultimately, we direct efforts to the common goal of reducing harmful exposures to improve public health.
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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.