The impact of variation in scaling factors on the estimation of internal dose metrics: a case study using bromodichloromethane (BDCM)
This dataset contains model code and supporting analysis files necessary to evaluate the impact of variability in human hepatic scaling factors. Variation in scaling factor values impacts metabolic rate parameter estimates (Vmax) and hence estimates of internal dose used in dose response analysis and biomarkers of exposure that are important for interpretation of epidemiology studies.
This dataset is associated with the following publication:
Kenyon, E., C. Eklund, J. Lipscomb, and R. Pegram. The impact of variation in scaling factors on the estimation of internal dose metrics: a case study using bromodichloromethane (BDCM).1. Toxicology Mechanisms and Methods. Taylor & Francis, Inc., Philadelphia, PA, USA, 26(8): 620-626, (2016).
Resources
3 resources available
-
AnalysisFiles_ScalingVariabilityAdult.pdf
APPLICATION/PDF -
ImpactScalingFactorVariabilityAdults_DocumentationMs.pdf
APPLICATION/PDF -
ModelFile_ScalingVariabilityAdultBDCMcsl_JAT'16.pdf
APPLICATION/PDF
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Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[ "020:00" ] |
| contactPoint |
{ "fn": "Elaina Kenyon", "hasEmail": "mailto:kenyon.elaina@epa.gov" } |
| describedBy | https://pasteur.epa.gov/uploads/10.23719/1379171/documents/DataDictionary_ScalingFactorVariabilityAdult.pdf |
| describedByType | application/pdf |
| description | This dataset contains model code and supporting analysis files necessary to evaluate the impact of variability in human hepatic scaling factors. Variation in scaling factor values impacts metabolic rate parameter estimates (Vmax) and hence estimates of internal dose used in dose response analysis and biomarkers of exposure that are important for interpretation of epidemiology studies. This dataset is associated with the following publication: Kenyon, E., C. Eklund, J. Lipscomb, and R. Pegram. The impact of variation in scaling factors on the estimation of internal dose metrics: a case study using bromodichloromethane (BDCM).1. Toxicology Mechanisms and Methods. Taylor & Francis, Inc., Philadelphia, PA, USA, 26(8): 620-626, (2016). |
| distribution |
[ { "title": "AnalysisFiles_ScalingVariabilityAdult.pdf", "mediaType": "application/pdf", "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1379171/AnalysisFiles_ScalingVariabilityAdult.pdf" }, { "title": "ImpactScalingFactorVariabilityAdults_DocumentationMs.pdf", "mediaType": "application/pdf", "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1379171/ImpactScalingFactorVariabilityAdults_DocumentationMs.pdf" }, { "title": "ModelFile_ScalingVariabilityAdultBDCMcsl_JAT'16.pdf", "mediaType": "application/pdf", "downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1379171/ModelFile_ScalingVariabilityAdultBDCMcsl_JAT%2716.pdf" } ] |
| identifier | https://doi.org/10.23719/1379171 |
| keyword |
[ "IVIVE", "PBPK model", "bromodichloromethane", "hepatic", "human", "in vitro to in vivo extrapolation", "scaling factors", "variability", "variation" ] |
| license | https://pasteur.epa.gov/license/sciencehub-license.html |
| modified | 2016-09-01 |
| programCode |
[ "020:096" ] |
| 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/10.1080/15376516.2016.1225141" ] |
| rights |
null
|
| title | The impact of variation in scaling factors on the estimation of internal dose metrics: a case study using bromodichloromethane (BDCM) |
