WebJan 1, 2024 · The BKMR model PIPs selected the organochlorines as the most important group modifying the SDNN outcome (Group PIP = 0.952), with trans- and cis -nonachlor having the highest conditional PIP values (Conditional PIP = 0.538 and 0.315, respectively). WebMar 25, 2024 · Bayesian kernel machine regression (BKMR) and nonparametric Bayes shrinkage (NPB) were top-performing methods in our simulation study. BKMR and NPB outperformed other contemporary methods and traditional linear models in estimating the exposure-response function and identifying active mixture components.
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WebExtractPIPs: Extract posterior inclusion probabilities (PIPs) from BKMR ... WebExample using the bkmr R package with simulated data from the NIEHS mixtures workshop. smoking the mask
Model choice for estimating the association between exposure …
WebMar 23, 2024 · The BKMR model identified positive trends between PAH mixture and the risk of COPD in all adults and males when all PAHs were at or above their 55th percentile compared to all PAHs at their 50th percentile. WebAug 31, 2024 · Bayesian kernel machine regression (BKMR) The BKMR model utilizes a non-parametric approach to flexibly model the association between chemical exposures and healthy outcomes, including the nonlinear and/or interactions in … WebFeb 12, 2024 · a data frame with the variable-specific PIPs for BKMR fit with component-wise variable selection, and with the group-specific and conditional (within-group) PIPs for BKMR fit with hierarchical variable selection. ExtractSamps Extract samples Description Extract samples of each parameter from the BKMR fit Usage ExtractSamps(fit, sel = … smoking the reefer gif