A multi-tiered hierarchical Bayesian approach to derive toxic equivalency factors for dioxin-like compounds
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1-s2.0-S0273230023001320-mmc1.docx
APPLICATION/VND.OPENXMLFORMATS-OFFICEDOCUMENT.WORDPROCESSINGML.DOCUMENT -
1-s2.0-S0273230023001320-mmc2.docx
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1-s2.0-S0273230023001320-mmc3.docx
APPLICATION/VND.OPENXMLFORMATS-OFFICEDOCUMENT.WORDPROCESSINGML.DOCUMENT
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Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[ "020:00" ] |
| 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). |
| distribution |
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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 |
| programCode |
[ "020:000" ] |
| publisher |
{ "name": "U.S. EPA Office of Research and Development (ORD)", "subOrganizationOf": { "name": "U.S. Environmental Protection Agency", "subOrganizationOf": { "name": "U.S. Government" } } } |
| 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 |