WebBy using the (bkmr) package for the R programming language, BKMR was created to estimate the health effects of pollutant mixtures and is used for toxicological, epidemiological, and other applications. It does this by using procedures from Gaussian predictive methods or hierarchical variable selection [18,19]. Weba vector of outcome data of length n. Z: an n-by-M matrix of predictor variables to be included in the h function. Each row represents an observation and each column represents an predictor. X: an n-by-K matrix of covariate data where each row represents an observation and each column represents a covariate. Should not contain an intercept ...
bkmr: Bayesian Kernel Machine Regression version 0.2.2 from …
WebMar 25, 2024 · Bayesian kernel machine regression (BKMR) and nonparametric Bayes shrinkage (NPB) were top-performing methods in our simulation study. BKMR and NPB … WebWe employed linear regression and Bayesian kernel machine regression (BKMR), to explore the associations of urinary phthalate metabolites with 8 indicators of LFTs. Results: Di(2-ethylhexyl) phthalate (ΣDEHP) was found to be positively associated with serum alanine aminotransferase (ALT), gamma-glutamyl transferase (GGT) and alkaline ... phil marsh dentist
Application of two statistical approaches (Bayesian Kernel Machine ...
WebContents 1 TheroleofbodymassindexatdiagnosisonBlack-Whitedisparitiesincolorectalcancer survival:Adensityregressionmediationapproach 1 1.1 Introduction ... WebMar 24, 2024 · Implementations of BKMR via the main kmbayes function: normally distributed (Gaussian) outcome data Gaussian kernel function model fitting with or … BKMR can be extended to binary outcomes via generalized linear modeling. For reasons of computational efficiency for Bayesian inference, we use probit, rather than logistic, regression. The probit BKMR model is given by where Φ is the cumulative distribution function (CDF) for the standard normal … See more We first provide a brief overview of BKMR. The kernel machine regression (KMR) model for a continuous outcome is given by where Yi denotes the response for individual i (i = 1, …, n), zim is the mth exposure variable, h … See more From fitting the BKMR model, one obtains an estimate of the exposure-response function h, which may include nonlinear and non-additive associations. Unless there are very few mixture components, it is not possible to … See more The bkmr software is implemented as an R (R Development Core Team 2024) package. It has dependencies to the following packages: … See more A major computational burden in fitting BKMR is the need to invert an n-by-n matrix (multiple times) at each iteration of the algorithm, where n is equal to the number of observations in the data. One way to reduce the … See more phil marsh butcher gamefowl