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Bayesian Benchmark Dose Modelling WEB app

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 16 Nov 2022 English Publisher:Zenodo
Authors: Kremer, Cécile; Oluwafemi, Olusoji; Shkedy, Ziv; Aerts, Marc; Verlinden, Wouter; Varewyck, Machteld; Verbeke, Tobias; +2 Authors

doi: 10.5281/zenodo.10523648 , 10.5281/zenodo.7759037 , 10.5281/zenodo.7986184 , 10.5281/zenodo.10275881 , 10.5281/zenodo.7334434 , 10.5281/zenodo.7334435 , 10.5281/zenodo.7646997

Bayesian Benchmark Dose Modelling WEB app

Abstract

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.

The tool is implemented in R. EU, en, .tar.gz, wouter.verlinden@openanalytics.eu

Related Organizations
Keywords

http://id.agrisemantics.org/gacs/C1072, Bayesian model averaging, Benchmark Dose estimation, http://id.agrisemantics.org/gacs/C900, http://id.agrisemantics.org/gacs/C10152

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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1
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45