Scientific ReportsFew studies have considered nutrients as a mixture and their impact on Mild Cognitive Impairment (MCI). The generalized linear regression (GLM), weighted quantile sum (WQS) regression, and Bayesian kernel machine regression (BKMR) models are fitted to ...
Yu-Xia Ma, Yutian Zhou, Huichen Zhu
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Association Between Volatile Organic Compound Metabolites in Urine and Adult Lung Function: Evidence From NHANES 2011–2012 [PDF]
The Clinical Respiratory JournalObjectives Volatile organic compounds (VOCs) have been reported to be associated with adverse respiratory outcomes during daily exposure at low levels. However, the main contributors among the numerous VOCs and tobacco as the possible sources of VOCs in ...
Qian Liu +6 more
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ToxicsThis study investigates the combined effects of environmental pollutants (lead, cadmium, total mercury) and behavioral factors (alcohol consumption, smoking) on depressive symptoms in women. Data from the National Health and Nutrition Examination Survey (
Emmanuel Obeng-Gyasi, Olamide Ogundare
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A Practical Framework for Incorporating Complex Survey Design in Bayesian Kernel Machine Regression [PDF]
StatsLarge-scale population datasets are rarely generated via simple random sampling; instead, they reflect complex designs involving stratification, clustering, and unequal inclusion probabilities.
Doreen Jehu-Appiah, Emmanuel Obeng-Gyasi
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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]
StatsBackground. Human populations are exposed to complex chemical mixtures, making interaction detection a central challenge in environmental epidemiology. We benchmarked methods for prediction and recovery of interaction structure. Methods. Eight approaches—
Aderonke Gbemi Adetunji +1 more
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Complex exposure–response relationships between meteorological factors and severe fever with thrombocytopenia syndrome risk [PDF]
Tropical Medicine and HealthObjective Severe fever with thrombocytopenia syndrome (SFTS) is an emerging tick-borne infectious disease influenced by meteorological factors. This study aimed to characterize the complex exposure–response relationships between multiple meteorological ...
Guangju Mo +7 more
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Combined Effects of Metals and PFAS Exposure on Prevalent Diabetes [PDF]
Journal of XenobioticsHuman per- and polyfluoroalkyl substances (PFAS) and metal exposures occur as mixtures, but most studies evaluate them independently. Using data from adults in the 2017–2018 National Health and Nutrition Examination Survey (NHANES) with directly measured
Rifa Tasnia, Emmanuel Obeng-Gyasi
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Tailoring Bayesian Additive Regression Trees (BART) for environmental mixture studies. [PDF]
PLoS ONEBackgroundVarious methods have been developed to investigate the complex and collective effects of environmental mixtures on human health. Tree ensemble methods, such as Bayesian Additive Regression Trees (BART), are known for their stability and ...
Kaizong Ye, Zhen Chen, Shanshan Zhao
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Mixture Effects of Metals, PCBs, Dioxins, and Furans on Liver Function [PDF]
ToxicsQuantifying the mixture effects on humans exposed remains challenging because mixture components are correlated and may act bidirectionally by exhibiting nonlinear dose-response relationships, which may contribute to subclinical organ dysfunction.
Bolanle Akinyemi, Emmanuel Obeng-Gyasi
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Flexible statistical approaches for modeling nonlinear relationships in diabetes prediction using splines, Bayesian kernel regression and Bayesian regression trees [PDF]
Discover AnalyticsModeling nonlinear relationships is a fundamental challenge in statistical analysis, particularly when predictors exhibit complex and interacting effects on outcomes.
Thimani Dananjana Ranathungage +2 more
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