People encounter many environmental chemicals simultaneously, yet the combined effects of these exposures on kidney function and underlying biological pathways remain poorly understood. This study examined the joint association of a mixture of per- and polyfluoroalkyl substances (PFAS) and metals with estimated glomeru...
Christiana Ugbem, E. Obeng-Gyasi· Environments· 0 citations
Background. 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—main-effects Lasso (glmnet_main), interaction Lasso (glmnet_int),...
Missing data are common in environmental mixture studies and can bias inference if not properly addressed. This study evaluates how different imputation strategies influence variable selection performance in six mixture modeling frameworks: Weighted Quantile Sum (WQS), Bayesian WQS (BWQS), Quantile g-computation (Q-gco...
Y. S. Boafo, S. Mostafa, E. Obeng-Gyasi· Data Science in Science· 0 citations
Limiting to directly measured exposures, incorporating the full NHANES design in the primary regression, and triangulating across complementary mixture frameworks provide a more rigorous platform than prior single-pollutant or design-naive approaches.
Rifa Tasnia, E. Obeng-Gyasi· Journal of Xenobiotics· 0 citations
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