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 = … WebFeb 1, 2024 · Abstract Traditional and grouped weighted quantile sum (WQS) regression and Bayesian kernel machine regression (BKMR) were performed to assess association between exposure to a mixture of 22 metals measured in urine or plasma, and lipid markers.
jenfb/bkmr: my-doc/overview.Rmd
WebWe introduce Bayesian kernel machine regression (BKMR) as a new approach to study mixtures, in which the health outcome is regressed on a flexible function of the mixture (e.g. air pollution or toxic waste) components that is specified using a kernel function. In high-dimensional settings, a novel hierarchical variable selection approach is ... WebFeb 1, 2024 · BKMR is a powerful statistical method not only for capturing multipollutant mixtures, and non-linear, non-additive exposure-response correlations, but also for selecting variables that have a major impact on the overall effect. great shield phone holder for bicycle
Exposure to multiple metals in early pregnancy and
WebFeb 1, 2024 · The estimated PIP for each exposure group (groupPIP) and individual exposure in each group (condPIP) from the BKMR model with grouping based on bay region and molecular weight is shown in Table 4. The importance of each exposure group or individual exposure for a biomarker was determined using a common threshold of PIP > … WebBayesian kernel machine regression (BKMR) provides flexibility in modeling the combined effects of mixed exposure, and can be used to evaluate the relationships between mixed exposure of multiple... WebThe bkmrhat package is a lightweight set of function that fills in each of those gaps by enabling post-processing of bkmr output in other packages and building a small framework for parallel processing. How to use the bkmrhat package greatshield rfid