Derivation of human toxicokinetic parameters and internal threshold of toxicological concern for tenuazonic acid through a human intervention trial and hierarchical Bayesian population modeling.
Journal of exposure science & environmental epidemiology
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Derivation of human toxicokinetic parameters and internal threshold of toxicological concern for tenuazonic acid through a human intervention trial and hierarchical Bayesian population modeling
Journal of Exposure Science and Environmental Epidemiology
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Incorporating new approach methods (NAMs) data in dose–response assessments: The future is now!
Journal of Toxicology and Environmental Health - Part B: Critical Reviews
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Derivation of human toxicokinetic parameters and internal threshold of toxicological concern for tenuazonic acid through a human intervention trial and hierarchical Bayesian population modeling
Journal of Exposure Science and Environmental Epidemiology
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Reducing uncertainty in dose–response assessments by incorporating Bayesian benchmark dose modeling and in vitro data on population variability
Risk Analysis
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Two-Stage Machine Learning-Based Approach to Predict Points of Departure for Human Noncancer and Developmental/Reproductive Effects.
Environmental science & technology
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Evaluating scientific confidence in the concordance of in vitro and in vivo protective points of departure
Regulatory Toxicology and Pharmacology
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Incorporating new approach methods (NAMs) data in dose-response assessments: The future is now!
Journal of toxicology and environmental health. Part B, Critical reviews
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Reducing uncertainty in dose-response assessments by incorporating Bayesian benchmark dose modeling and in vitro data on population variability.
Risk analysis : an official publication of the Society for Risk Analysis
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Evaluating scientific confidence in the concordance of in vitro and in vivo protective points of departure.
Regulatory toxicology and pharmacology : RTP
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Two-Stage Machine Learning-Based Approach to Predict Points of Departure for Human Noncancer and Developmental/Reproductive Effects
Environmental Science and Technology
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Advancing probabilistic risk assessment by integrating human biomonitoring, new approach methods, and Bayesian modeling: A case study with the mycotoxin deoxynivalenol
Environment International
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Systematic probabilistic risk assessment of pesticide residues in tea leaves
Chemosphere
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Systematic probabilistic risk assessment of pesticide residues in tea leaves.