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A tiered, Bayesian approach to estimating of population variability for regulatory decision-making
Characterizing human variability in susceptibility to chemical toxicity is a critical issue in regulatory decision-making, but is usually addressed by a default 10-fold safety/uncertainty factor. Feasibility of population-based in vitro experimental approaches to more accurately estimate human varia...
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| Veröffentlicht in: | ALTEX |
|---|---|
| Hauptverfasser: | , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2016
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5468494/ https://ncbi.nlm.nih.gov/pubmed/27960008 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.14573/altex.1608251 |
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