Hierarchical dose–response modeling for high‐throughput toxicity screening of environmental chemicals

High‐throughput screening (HTS) of environmental chemicals is used to identify chemicals with high potential for adverse human health and environmental effects from among the thousands of untested chemicals. Predicting physiologically relevant activity with HTS data requires estimating the response...

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Veröffentlicht in:	Biometrics 2014-03, Vol.70 (1), p.237-246
Hauptverfasser:	Wilson, Ander, Reif, David M, Reich, Brian J
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Bayes Theorem Bayesian Bioinformatics BIOMETRIC PRACTICE Biometrics biometry Chemical hazards Chemicals Computational toxicology Computer Simulation Dose response relationship Dose-response Dose-Response Relationship, Drug Environmental health Environmental Pollutants - toxicity Estrogen Receptor alpha - metabolism estrogen receptors Health risk assessment human health Humans Knots Markov Chains Material concentration Mathematical monotonicity MCMC Models, Statistical Monotonicity Monte Carlo Method PPAR gamma - metabolism prediction Prioritization Probabilities probability Receptors screening Semiparametric Simulations ToxCast Toxicity Toxicity Tests - methods United States United States Environmental Protection Agency
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