Variability in in vivo studies: Defining the upper limit of performance for predictions of systemic effect levels (ORD-034452)
Resources
1 resource available
-
https://gaftp.epa.gov/comptox/CCTE_Publication_Data/BCTD_Publication_Data/Paul-Friedman/Variability_in_vivo_data/
FILE
Complete Metadata
| 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) |