Probabilistic dose-response modeling: Case study using dichloromethane PBPK model results

Regulatory Toxicology and Pharmacology

Volumn 49, Issue 3, 2007, Pages 285-300

  Marino, Dale J ^a   Starr, Thomas B ^b  

^a EASTMAN KODAK COMPANY   (United States)

^b TBS Associates   (United States)

Author keywords

Dichloromethane; Dose response; Methylene chloride; Monte Carlo; PBPK; Probabilistic

Indexed keywords

DICHLOROMETHANE; GLUTATHIONE TRANSFERASE;

ANIMAL EXPERIMENT; ANIMAL MODEL; ARTICLE; BAYES THEOREM; CANCER MODEL; CANCER RISK; CHEMICAL CARCINOGENESIS; CONTROLLED STUDY; DOSE RESPONSE; MONTE CARLO METHOD; MOUSE; NONHUMAN; PREDICTION; PRIORITY JOURNAL; PROBABILITY; TOXICOKINETICS;

ANIMALS; BAYES THEOREM; BINOMIAL DISTRIBUTION; DOSE-RESPONSE RELATIONSHIP, DRUG; HAZARDOUS SUBSTANCES; HUMANS; MATCHED-PAIR ANALYSIS; METHYLENE CHLORIDE; MICE; MODELS, BIOLOGICAL; MODELS, STATISTICAL; MONTE CARLO METHOD; REPRODUCIBILITY OF RESULTS; RISK ASSESSMENT; RISK FACTORS; SOLVENTS;

MUS;

EID: 36048982787     PISSN: 02732300     EISSN: 10960295     Source Type: Journal    
DOI: 10.1016/j.yrtph.2007.08.006     Document Type: Article

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