Published May 21, 2025 | Version v3

Repository of posterior distributions from Bayesian benchmark dose analysis

  • 1. ROR icon Hasselt University
  • 2. Universiteit Hasselt Centrum voor Milieukunde

Description

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

Notes

BE; RData; cecile.kremer@uhasselt.be

Files

Files (2.1 GB)

Name Size
md5:ac8a56950c23c5acfa9977e96a9d6928
2.0 GB Download
md5:71ec30f9750147666963feb8426b2d37
59.4 MB Download

Additional details