ArticleEnvironmental health perspectives2022
A Permutation Test-Based Approach to Strengthening Inference on the Effects of Environmental Mixtures: Comparison between Single-Index Analytic Methods.
Article in Environmental health perspectives, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- Phthalate and Terephthalate Mixtures, Cardiometabolic Risk Factors, and the Role of Oxidative Stress: Evidence from NHANES 2015-2018.Cardiovascular toxicology · 2026Article
- Chemical mixtures and birth weight: comparison of multipollutant models in the Maternal-Infant Research on Environmental Chemicals (MIREC) study.Environmental health : a global access science source · 2026Article
- Spatial Patterns of Breast Cancer Risk Associated with Industrial and Environmental Pollutants: A Scoping Review.Toxics · 2026Review
- Prenatal exposure to polycyclic aromatic hydrocarbons and birth outcomes in a pregnancy cohort in Nairobi, Kenya.PloS one · 2026Article
- Investigation of Combined Toxic Metals, PFAS, Volatile Organic Compounds, and Essential Elements in Chronic Kidney Disease.Journal of xenobiotics · 2025Article
- Essential and non-essential metals in children's intellectual functioning: A multi-media biomarker approach from a Mexico City birth cohort.Environmental research · 2025Article
- Estimating the causal effects of exposure mixtures: a generalized propensity score method.BMC medical research methodology · 2025Article
- Partial Effects in Environmental Mixtures: Evidence and Guidance on Methods and Implications.Environmental health perspectives · 2025Article
- A prospective study of early pregnancy metal concentrations and gestational diabetes mellitus based on a birth cohort in Northwest China.BMC pregnancy and childbirth · 2025Article
- Identifying joint association between body fat distribution with high blood pressure among 7 ∼ 17 years using the BKMR model: findings from a cross-sectional study in China.BMC public health · 2025Article
- A cohort study of the multipollutant effects of PMEnvironmental epidemiology (Philadelphia, Pa.) · 2024Article
- Recent Insights into the Environmental Determinants of Childhood Asthma.Current allergy and asthma reports · 2024Review
- Individual and Neighborhood Level Predictors of Children's Exposure to Residential Greenspace.Journal of urban health : bulletin of the New York Academy of Medicine · 2024Article
- Prenatal polycyclic aromatic hydrocarbon exposure and asthma at age 8-9 years in a multi-site longitudinal study.Environmental health : a global access science source · 2024Article
- Subpopulations of children with multiple chronic health outcomes in relation to chemical exposures in the ECHO-PATHWAYS consortium.Environment international · 2024Article
- Prenatal exposures to phthalates and life events stressors in relation to child behavior at age 4-6: A combined cohort analysis.Environment international · 2024Article
- Prenatal exposure to polycyclic aromatic hydrocarbons and cognition in early childhood.Environment international · 2023Article
- Prenatal exposure to polycyclic aromatic hydrocarbons is not associated with behavior problems in preschool and early school-aged children: A prospective multi-cohort study.Environmental research · 2023Article
- Comment on "A Permutation Test-Based Approach to Strengthening Inference on the Effects of Environmental Mixtures: Comparison between Single-Index Analytic Methods".Environmental health perspectives · 2023Article
- A weighted quantile sum regression with penalized weights and two indices.Frontiers in public health · 2023Article
Corrections and comments
- Commented on by
- Erratum issued
Authors and funding
6 authors.
Funding
Abstract
backgroundOptimization of mixture analyses is critical to assess potential impacts of human exposures to multiple pollutants. Single-index regression methods quantify total mixture association and chemical component contributions. Single-index methods include several variants of quantile g-computation (QGC) and weighted quantile sum regression (WQSr), though each has limitations.
objectivesWe developed a novel permutation test for WQSr and compared its performance to extant versions of WQSr and QGC in simulation studies and an analysis of prenatal phthalates and childhood cognition.
methodsWQSr uses ensemble nonlinear optimization to identify weights for mixture exposures in an index associated with the outcome in a prespecified direction, with ensembles based on bootstrap resampling (WQSBS) or random subsetting of exposures (WQSRS). Statistical significance can be assessed without splitting the data (Nosplit), by splitting the data into training and test sets (Split), by repeatedly holding out test sets (RH), or by using a novel permutation test (PT) to obtain a more accurate
resultsFPR was well controlled at DISCUSSION: WQSr paired with our novel permutation test best balanced power and false positive rate when assessing a mixture effect. As new methods develop, each should be examined for performance and applicability. https://doi.org/10.1289/EHP10570.
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