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An analytical communications ranging from for each and every OPE metabolite and you can child sex is actually and additionally tested in the linear regression models Bayesian kernel machine regression (BKMR) are chose while the first combination acting means given the ability to: 1) accommodate low-linear connections between a visibility and you can outcome of attention, while accounting having potential correlated exposures, and 2) evaluate you are able to involved and you will antagonistic relationships anywhere between mixtures parts in place of prior specification [50, 51] We tested new member demographic features playing with means and you may frequencies. OPE metabolite withdrawals have been browsed playing with histograms, mathematical function, percentile withdrawals, and you will metabolite select wavelengths. Considering the basically proper skewed shipments of OPE metabolites, Kruskal Wallis testing was in fact used to test bivariate connectivity between categorical covariates and you may OPE concentrations and Spearman correlations was did to test contacts anywhere between OPE metabolites. The distribution of CBCL raw scores was right skewed with 7.4% and 2.5% of scores with a 0 on the internalizing and externalizing problems scales, respectively; therefore, CBCL scores were offset by 0.1 and natural log transformed prior to linear regression modeling. Locally Weighted Scatterplot Smoothing (LOWESS) plots between prenatal OPEs and CBCL composite scales were then evaluated, and due to non-linear associations that persisted after natural log transformation, OPE metabolites were categorized into exposure tertiles prior to linear regression modeling. […]