ArticleEnvironmental health perspectives2022
Principal Component Pursuit for Pattern Identification in Environmental Mixtures.
Article in Environmental health perspectives, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 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.
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.
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Who cites it
19 citing papers in PubMed, 23 citations in OpenAlex.
- Dietary and social predictors of PFAS exposure in Hispanic children from Northern Virginia.Journal of exposure science & environmental epidemiology · 2026Article
- Robust environmental exposure pattern recognition and outlier detection with the open-source R package pcpr.Environmental epidemiology (Philadelphia, Pa.) · 2026Article
- Community severance and mental health-related hospital visits in New York City.Environmental epidemiology (Philadelphia, Pa.) · 2026Article
- Workflow for Statistical Analysis of Environmental Mixtures.Environmental health perspectives · 2026Review
- Article
- Prenatal and childhood exposures to heavy metals and their associations with child cognition, motor skills, behaviour and mental health.Essays in biochemistry · 2025Review
- Uncovering Exposure Patterns of Metals, PFAS, Phthalates, and PAHs and Their Combined Effect on Liver Injury Markers.Journal of xenobiotics · 2025Article
- Prenatal environmental risk for adolescent attention, thought, and substance use problems: A mixtures approach to coexposure and psychiatric comorbidities.Environmental epidemiology (Philadelphia, Pa.) · 2025Article
- Annual Research Review: Exposure to environmental chemicals and psychosocial stress and the development of children's learning difficulties.Journal of child psychology and psychiatry, and allied disciplines · 2025Review
- Exposome Burden Scores to Summarize Environmental Chemical Mixtures: Creating a Fair and Common Scale for Cross-study Harmonization, Report-back and Precision Environmental Health.Current environmental health reports · 2025Review
- Environmental Mixtures Analysis (E-MIX) Workflow and Methods Repository.medRxiv : the preprint server for health sciences · 2024Article
- Seminar: Functional Exposomics and Mechanisms of Toxicity-Insights from Model Systems and NAMs.Environmental health perspectives · 2024Review
- Exposome Profiling of Environmental Pollutants in Seminal Plasma and Novel Associations with Semen Parameters.Environmental science & technology · 2024Article
- Combined Exposures and Mixtures Research: An Enduring NIEHS Priority.Environmental health perspectives · 2024Article
- Development of a community severance index for urban areas in the United States: A case study in New York City.Environment international · 2024Article
- A review of common statistical methods for dealing with multiple pollutant mixtures and multiple exposures.Frontiers in public health · 2024Review
- Applying principal component pursuit to investigate the association between source-specific fine particulate matter and myocardial infarction hospitalizations in New York City.Environmental epidemiology (Philadelphia, Pa.) · 2023Article
- Invited Perspective: Challenges and Opportunities for Missing Data in the Context of Environmental Mixture Methods.Environmental health perspectives · 2022Article
- Powering Research through Innovative Methods for Mixtures in Epidemiology (PRIME) Program: Novel and Expanded Statistical Methods.International journal of environmental research and public health · 2022Review
Corrections and comments
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Authors and funding
10 authors at 1 institution in 1 country.
Funding
Abstract
backgroundEnvironmental health researchers often aim to identify sources or behaviors that give rise to potentially harmful environmental exposures.
objectiveWe adapted principal component pursuit (PCP)-a robust and well-established technique for dimensionality reduction in computer vision and signal processing-to identify patterns in environmental mixtures. PCP decomposes the exposure mixture into a low-rank matrix containing consistent patterns of exposure across pollutants and a sparse matrix isolating unique or extreme exposure events.
methodsWe adapted PCP to accommodate nonnegative data, missing data, and values below a given limit of detection (LOD). We simulated data to represent environmental mixtures of two sizes with increasing proportions
resultsPCP-LOD recovered the true number of patterns through cross-validation for all simulations; based on an DISCUSSION: PCP-LOD serves as a useful tool to express multidimensional exposures as consistent patterns that, if found to be related to adverse health, are amenable to targeted public health messaging. https://doi.org/10.1289/EHP10479.
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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.