Published January 17, 2024
| Version v6
Software
Open
Bayesian Benchmark Dose Modelling WEB app
Creators
- 1. Hasselt University
- 2. Open Analytics
- 3. European Food Safety Authority
Description
This online application implements statistical methods for Bayesian Benchmark dose modelling using the BMABMDR R-package, available on GitHub. Both continuous and quantal data can be used for estimating the benchmark dose of interest (BMD). Bayesian model averaging is performed on the fitted models with the possibility to include informative priors (and other options). Among the reported outputs are the upper and lower bounds of the BMD, weights of the fitted models and plots visualizing the fit and weights of each model.
Notes
Files
Files
(379.5 MB)
Name | Size | Download all |
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md5:6fc422ca067601f23299a3ce738867c4
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374.4 MB | Download |
md5:06d8cea580a1d4f728e2160d067227c2
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5.1 MB | Download |
Additional details
Related works
- Is new version of
- 10.5281/zenodo.3760370 (DOI)
- Is supplemented by
- 10.5281/zenodo.7118583 (DOI)
- 10.2903/j.efsa.2022.7584 (DOI)
Subjects
- dosage effects
- http://id.agrisemantics.org/gacs/C900
- Bayesian theory
- http://id.agrisemantics.org/gacs/C10152
- statistical analysis
- http://id.agrisemantics.org/gacs/C1072