Bkmr grouppip
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. Web# ' @return 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 grouppip
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WebMar 26, 2024 · Brief overview of kernel machine regression. Kernel machine regression (KMR), also called Gaussian process regression, is a popular tool in the machine …
WebThe BKMR models for the three clusters yielded groupPIP results above 0.5, indicating high importance in the incidence of GDM (Table S11). PFOA was the primary contributor in the mixture models, with the highest groupPIP of 0.87. WebFeb 10, 2024 · BKMR showed that mixed phthalate metabolites were associated with a higher risk of hyperuricemia, with MBzP contributing the most (groupPIP = 0.999, condPIP = 1.000). We observed the consistent results between phthalate metabolites and SUA levels in three statistical models.
WebBayesian kernel machine regression (BKMR) is becoming a popular approach for studying the joint effect of environmental mixtures on health outcomes allowing for variable selection, which is particularly useful when continuous exposures display moderate correlations. An R package, bkmr, has been developed to implement this method. BKMR-causal mediation … WebPackage ‘bkmr’ October 12, 2024 Title Bayesian Kernel Machine Regression Version 0.2.2 Description Implementation of a statistical approach for estimating the joint health effects …
WebFeb 17, 2024 · BKMR analysis showed that when the concentration of the nine vitamins was at or above the 55th percentile compared with the median value, the combined intake of these vitamins could significantly reduce the risk of obesity in children and adolescents. ... (groupPIP) and the conditional posterior inclusion probability (condPIP) were calculated ...
WebFeb 12, 2024 · Package ‘bkmr’ March 24, 2024 Title Bayesian Kernel Machine Regression Version 0.2.0 Description Implementation of a statistical approach for estimating the joint … minerva learning centers port moresbyWebWe 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 ... moss and mane colchesterWebJan 15, 2024 · The posterior inclusion probabilities (groupPIP) and exposure probabilities (condPIP) calculated from the hierarchical BKMR were summarized in Table 3. The groupPIPs of Group 3, Group 5 and Group 1 were 1.000, 0.984 and 0.748, respectively, indicating a high level of confidence in the connection with HTN risk. moss and mane jefferson gaWebExtractPIPs: Extract posterior inclusion probabilities (PIPs) from BKMR ... minerva landfill waynesburg ohWebSep 1, 2024 · groupPIP group posterior inclusion probability condPIP conditional posterior inclusion probability 1. Introduction The prevalence of hyperuricemia worldwide has significantly increased in recent decades and has been recognized as a global public health issue ( Song et al., 2024 ). moss and mane store hoursWebIntroduction to Bayesian kernel machine regression and the bkmr R package. moss and marlowWebFeb 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. minerva leather