Repository of posterior distributions from Bayesian benchmark dose analysis

This repository contains posterior distributions for all model parameters obtained from analysis of continuous and quantal dose-response studies. The attached repositories contain the following variables: Variable Description dataID unique identifier for each dataset Compound compound investigated CASnr CAS number of the compound investigated Endpoint endpoint investigated Species animal species investigated Strain animal strain investigated Sex animal sex investigated Model 16 models for continuous endpoints, 8 models for quantal endpoints; MA = model-averaged; N = normal distribution; LN = lognormal distribution Parameter bmd, d, mu_0, mu_inf, sigma^2 Weight weight for the corresponding model, as used in model averaging bf.model Bayes factor of the model compared to the saturated model; only given if Weight > 0 AnalysisRun indicator whether the analysis was run Monotone indicator whether the data are monotone DR.effect Bayes factor for dose-response test Suitable indicator whether the data are suitable for analysis min.samplesize minimum dose-specific sample size of the dataset max.samplesize maximum dose-specific sample size of the dataset NDose number of dose groups in the dataset Q1-Q1000 quantiles of the posterior distribution source source from which the dataset was obtained source_ID unique identifier for each dataset by source The repository for continuous endpoints has the following additional variables: Variable Description const.var.p p-value of Bartlett test for constant variance const.cv.p p-value of Bartlett test for constant coefficient of variation (i.e. constant variance on log-scale) norm.p p-value of Shapiro-Wilks test for normality lognorm.p p-value of Shapiro-Wilks test for lognormality