Variability in in vivo studies: Defining the upper limit of performance for predictions of systemic effect levels (ORD-034452)
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https://gaftp.epa.gov/comptox/CCTE_Publication_Data/BCTD_Publication_Data/Paul-Friedman/Variability_in_vivo_data/
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Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[ "020:00" ] |
| contactPoint |
{ "fn": "Katie Friedman", "hasEmail": "mailto:paul-friedman.katie@epa.gov" } |
| description | The data used are from curation of legacy studies and stored in ToxRefDB. This dataset is associated with the following publication: Pham, L.L., S. Watford, P. Pradeep, M. Martin, R. Thomas, R. Judson, W. Setzer, and K. Paul-Friedman. Variability in in vivo studies: Defining the upper limit of performance for predictions of systemic effect levels. Computational Toxicology. Elsevier B.V., Amsterdam, NETHERLANDS, 15(August 2020): 100126, (2020). |
| distribution |
[ { "title": "https://gaftp.epa.gov/comptox/CCTE_Publication_Data/BCTD_Publication_Data/Paul-Friedman/Variability_in_vivo_data/", "accessURL": "https://gaftp.epa.gov/comptox/CCTE_Publication_Data/BCTD_Publication_Data/Paul-Friedman/Variability_in_vivo_data/" } ] |
| identifier | https://doi.org/10.23719/1518556 |
| keyword |
[ "ToxRefDB", "Uncertainty", "in vivo data", "predictive models", "variance" ] |
| license | https://pasteur.epa.gov/license/sciencehub-license-non-epa-generated.html |
| modified | 2020-01-13 |
| programCode |
[ "020:095" ] |
| 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.comtox.2020.100126" ] |
| rights |
null
|
| title | Variability in in vivo studies: Defining the upper limit of performance for predictions of systemic effect levels (ORD-034452) |