The impact of variation in scaling factors on the estimation of internal dose metrics: a case study using bromodichloromethane (BDCM)

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).

Resources

Name Format Description Link
33 ModelFile_ScalingVariabilityAdultBDCMcsl_JAT%2716.pdf https://pasteur.epa.gov/uploads/10.23719/1379171/ModelFile_ScalingVariabilityAdultBDCMcsl_JAT%2716.pdf
33 AnalysisFiles_ScalingVariabilityAdult.pdf https://pasteur.epa.gov/uploads/10.23719/1379171/AnalysisFiles_ScalingVariabilityAdult.pdf
33 ImpactScalingFactorVariabilityAdults_DocumentationMs.pdf https://pasteur.epa.gov/uploads/10.23719/1379171/ImpactScalingFactorVariabilityAdults_DocumentationMs.pdf

Tags

  • ivive
  • variation
  • in-vitro-to-in-vivo-extrapolation
  • variability
  • human
  • scaling-factors
  • pbpk-model
  • hepatic
  • bromodichloromethane

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