Published by the Foundation for Open Access Statistics
Editors-in-chief: Bettina Grün, Torsten Hothorn, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
Model Averaging Software for Dichotomous Dose Response Risk Estimation | Wheeler | Journal of Statistical Software
Authors: Matthew W. Wheeler, A. John Bailer
Title: Model Averaging Software for Dichotomous Dose Response Risk Estimation
Abstract: Model averaging has been shown to be a useful method for incorporating model uncertainty in quantitative risk estimation. In certain circumstances this technique is computationally complex, requiring sophisticated software to carry out the computation. We introduce software that implements model averaging for risk assessment based upon dichotomous dose-response data. This software, which we call Model Averaging for Dichotomous Response Benchmark Dose (MADr-BMD), fits the quantal response models, which are also used in the US Environmental Protection Agency benchmark dose software suite, and generates a model-averaged dose response model to generate benchmark dose and benchmark dose lower bound estimates. The software fulfills a need for risk assessors, allowing them to go beyond one single model in their risk assessments based on quantal data by focusing on a set of models that describes the experimental data.

Page views:: 4986. Submitted: 2007-04-20. Published: 2008-06-26.
Paper: Model Averaging Software for Dichotomous Dose Response Risk Estimation     Download PDF (Downloads: 4586)
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DOI: 10.18637/jss.v026.i05

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Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.