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A multi-tiered hierarchical Bayesian approach to derive toxic equivalency factors for dioxin-like compounds
Supplementary data for "Ring C, Blanchette A, Klaren WD, Fitch S, Haws L, Wheeler MW, DeVito M, Walker N, Wikoff D. A multi-tiered hierarchical Bayesian approach to derive toxic equivalency factors for dioxin-like compounds. Regul Toxicol Pharmacol. 2023 Sep;143:105464. doi: 10.1016/j.yrtph.2023.105464. Epub 2023 Jul 27. PMID: 37516304.". Portions of this dataset are inaccessible because: Available on request from Daniele Wikoff. They can be accessed through the following means: Available on request from dwikoff@toxstrategies.com. Format: N/A.
This dataset is associated with the following publication:
Ring, C., A. Blanchette, W. Klaren, S. Fitch, L. Haws, M. Wheeler, M. Devito, N. Walker, and D. Wikoff. A multi-tiered hierarchical Bayesian approach to derive toxic equivalency factors for dioxin-like compounds. REGULATORY TOXICOLOGY AND PHARMACOLOGY. Elsevier Science Ltd, New York, NY, USA, 143: 105464, (2023).
Complete Metadata
| accessLevel | public |
|---|---|
| bureauCode |
[
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|
| contactPoint |
{
"fn": "Michael Devito",
"hasEmail": "mailto:devito.michael@epa.gov"
}
|
| description | Supplementary data for "Ring C, Blanchette A, Klaren WD, Fitch S, Haws L, Wheeler MW, DeVito M, Walker N, Wikoff D. A multi-tiered hierarchical Bayesian approach to derive toxic equivalency factors for dioxin-like compounds. Regul Toxicol Pharmacol. 2023 Sep;143:105464. doi: 10.1016/j.yrtph.2023.105464. Epub 2023 Jul 27. PMID: 37516304.". Portions of this dataset are inaccessible because: Available on request from Daniele Wikoff. They can be accessed through the following means: Available on request from dwikoff@toxstrategies.com. Format: N/A. This dataset is associated with the following publication: Ring, C., A. Blanchette, W. Klaren, S. Fitch, L. Haws, M. Wheeler, M. Devito, N. Walker, and D. Wikoff. A multi-tiered hierarchical Bayesian approach to derive toxic equivalency factors for dioxin-like compounds. REGULATORY TOXICOLOGY AND PHARMACOLOGY. Elsevier Science Ltd, New York, NY, USA, 143: 105464, (2023). |
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| identifier | https://doi.org/10.23719/1529962 |
| keyword |
[
"Children's Environmental Health",
"Environmental Justice",
"bayesian approach",
"dioxin-like compounds",
"relative estimated potency",
"toxic equivalency factors"
]
|
| license | https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html |
| modified | 2023-07-25 |
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"name": "U.S. EPA Office of Research and Development (ORD)",
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| references |
[
"https://doi.org/10.1016/j.yrtph.2023.105464"
]
|
| rights |
null
|
| title | A multi-tiered hierarchical Bayesian approach to derive toxic equivalency factors for dioxin-like compounds |
