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A new method for determining the benchmark dose tolerable region and endpoint probabilities for toxicology experiments

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  • Naha J. Farhat
  • Edward L. Boone
  • David J. Edwards

Abstract

The increase of exposure to toxic materials and hazardous chemicals is a major concern due to the adverse effect on human health. Among the major concerns of toxicologists is to determine acceptable levels of exposure to hazardous substances. Current approaches often evaluate each endpoint and stressor individually. We propose a novel method to simultaneously determine the Benchmark Dose Tolerable Region (BMDTR) for multiple endpoint and multiple stressor studies by adopting a Bayesian approach. A main concern while assessing the combined toxicological effect of a chemical mixture is the anticipated type of the combined action (i.e. synergistic or antagonistic); thus it was essential to account for interaction effects to handle this situation, imposing more challenges due to the non-linearity of the tolerable region. The proposed method will be evaluated using two approaches, the first one using the estimated value of the posterior median and the second approach using all MCMC samples from the posterior distribution. Furthermore, we propose a new method to determine the endpoint probabilities for each endpoint, which reflects the importance of each endpoint in helping determining the boundaries of the benchmark dose tolerable region (BMDTR).

Suggested Citation

  • Naha J. Farhat & Edward L. Boone & David J. Edwards, 2020. "A new method for determining the benchmark dose tolerable region and endpoint probabilities for toxicology experiments," Journal of Applied Statistics, Taylor & Francis Journals, vol. 47(5), pages 775-803, April.
  • Handle: RePEc:taf:japsta:v:47:y:2020:i:5:p:775-803
    DOI: 10.1080/02664763.2019.1654985
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    Cited by:

    1. Mirjana Glisovic‐Bensa & Walter W. Piegorsch & Edward J. Bedrick, 2024. "Bayesian benchmark dose risk assessment with mixed‐factor quantal data," Environmetrics, John Wiley & Sons, Ltd., vol. 35(5), August.
    2. Maria A. Sans‐Fuentes & Walter W. Piegorsch, 2021. "Benchmark dose risk analysis with mixed‐factor quantal data in environmental risk assessment," Environmetrics, John Wiley & Sons, Ltd., vol. 32(5), August.

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