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A Permutation Test-Based Approach to Strengthening Inference on the Effects of Environmental Mixtures: Comparison between Single-Index Analytic Methods — Europe PMC PMID:36040702

Source: Europe PMC (en)
Original: https://europepmc.org/article/MED/36040702
DOI: 10.1289/ehp10570
License (as archived): CC0-1.0
Archived: 2026-10-16T22:29:55.167Z
SHA-256 of the archived text: 90ebbd9c596404a9bd76d9efa8ae9d4ce72c2c067caecbe9982f60be351131b7
Stable URL of this page: https://metraipolis.com/documento/dc_55f6ff048edd

How to cite

A Permutation Test-Based Approach to Strengthening Inference on the Effects of Environmental Mixtures: Comparison between Single-Index Analytic Methods — Europe PMC PMID:36040702 — Europe PMC (en), https://europepmc.org/article/MED/36040702 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_55f6ff048edd (Metraipolis archive dc_55f6ff048edd, sha256 90ebbd9c596404a9bd76d9efa8ae9d4ce72c2c067caecbe9982f60be351131b7)

BibTeX

@misc{dc55f6ff048edd,
  title = {A Permutation Test-Based Approach to Strengthening Inference on the Effects of Environmental Mixtures: Comparison between Single-Index Analytic Methods — Europe PMC PMID:36040702},
  howpublished = {Europe PMC (en)},
  url = {https://europepmc.org/article/MED/36040702},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_55f6ff048edd; sha256 90ebbd9c596404a9bd76d9efa8ae9d4ce72c2c067caecbe9982f60be351131b7},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: Europe PMC (en), https://europepmc.org/article/MED/36040702. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Background: Optimization 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. Objectives: We 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. Methods: WQSr 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 p-value. QGC instead provides a sum mixture coefficient and component coefficients with no constraints on direction. In simulations, we compared false positive rates (FPR) and power to detect true associations and accuracy in estimating mixture weights. We also estimated associations between prenatal phthalate mixtures and childhood IQ in the Conditions Affecting Neurocognitive Development and Learning in Early Childhood cohort using each method. Results: FPR was well controlled at ≤7% in all but the Nosplit WQSr variants. Among these methods, the WQSBS and WQSRS PT variants had the highest power (89%-98%), with lower power for QGC (85%-93%) and RH (60%-97%) or Split WQSr variants (40%-78%). WQSr methods estimated mixture weights 2-4 times more accurately than the QGC method. Coefficients for mixture associations with full scale IQ varied 3- to 4-fold across analytic methods. 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.

Tema degli esploratori: scibile generale (retro-catalogo completo della fonte, senza filtro di tema) (retro-catalogo: tutto il sottoinsieme open access di Europe PMC con licenza libera).
Pubblicazione: Environmental health perspectives, 2022 (prima pubblicazione 2022-08-30).
Identificativi: PMID 36040702 · PMCID PMC9426671 · DOI 10.1289/ehp10570.
Descrittori MeSH principali: Environmental Pollutants; Environmental Exposure.
Pagina: https://europepmc.org/article/MED/36040702 — https://doi.org/10.1289/ehp10570. Autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza dell'articolo dichiarata da Europe PMC: CC0 (la versione è indicata dall'editore sulla pagina). Abstract riportato senza modifiche al contenuto, con attribuzione; deposito marcato CC0.
Letto il 2026-10-16T22:18:33.712Z tramite l'API REST ufficiale di Europe PMC (EMBL-EBI), nel rispetto del robots.txt e del crawl-delay.