Associations of Organophosphate Pesticide Metabolite Mixtures with Epigenetic Age Acceleration. [PDF]
Davis T, Obeng-Gyasi E.
europepmc +1 more source
Non-parametric Bayesian kernel models
Kernel models for classification and regression have emerged as widely applied tools in statistics and machine learning. We discuss a Bayesian framework and theory for kernel methods, providing a new rationalisation of kernel regression based on non ...
Feng Liang, Kai Mao, Ming Liao
core
Subcortical Microstructural Changes Associated with Multiple Metal Exposure. [PDF]
Lee EY.
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Benchmarking Statistical Methods for Environmental Chemical Mixtures: Prediction, Interaction Detection, and an Applied Analysis of Metals, Essential Elements and Diabetes. [PDF]
Adetunji AG, Obeng-Gyasi E.
europepmc +1 more source
Complex exposure-response relationships between meteorological factors and severe fever with thrombocytopenia syndrome risk. [PDF]
Mo G +7 more
europepmc +1 more source
Effect measure modification in mixtures and public health. [PDF]
Keil AP.
europepmc +1 more source
Associations between sex steroid hormones and female malignancies: A cross-sectional analysis of NHANES data. [PDF]
Ren N +5 more
europepmc +1 more source
Association between PFAS and renal function indicators in cord blood of newborns: modifying effects of newborn sex and maternal factors. [PDF]
Yan W +8 more
europepmc +1 more source
Exposure to multiple metals and adolescent major depressive disorder: a case-control study in China. [PDF]
He Y +15 more
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Pre-registered cross-sectional secondary analysis of NHANES 2017-2020 Pre-pandemic (n = 5,885) with cycle K 2021-2023 replication (n = 3,310). We examined whether whole-blood selenium and three co-exposed toxic metals (Cd, Pb, Hg) jointly relate to ...
Ling Yu
core

