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

Biometrics

Volumn 70, Issue 1, 2014, Pages 237-246

  Wilson, Ander ^a   Reif, David M ^a   Reich, Brian J ^a  

^a NORTH CAROLINA STATE UNIVERSITY   (United States)

Author keywords

Bayesian; Computational toxicology; Dose response; MCMC; Monotonicity; Semiparametric; ToxCast

Indexed keywords

ASSAYS; BAYESIAN NETWORKS; CYTOLOGY; ENVIRONMENTAL PROTECTION AGENCY; PHYSIOLOGICAL MODELS; TOXICITY;

BAYESIAN; COMPUTATIONAL TOXICOLOGY; DOSE RESPONSE; DOSE-RESPONSE MODELS; ENVIRONMENTAL CHEMICALS; HIGH THROUGHPUT SCREENING; MCMC; MONOTONICITY; SEMIPARAMETRIC; TOXCAST;

THROUGHPUT;

BAYESIAN ANALYSIS; DOSE-RESPONSE RELATIONSHIP; ESTIMATION METHOD; HEALTH IMPACT; HIERARCHICAL SYSTEM; NUMERICAL MODEL; PUBLIC HEALTH; TOXICITY;

UNITED STATES;

BAYESIAN; ESTROGEN RECEPTOR ALPHA; PEROXISOME PROLIFERATOR ACTIVATED RECEPTOR GAMMA;

ALGORITHM; ARTICLE; BAYES THEOREM; COMPUTATIONAL TOXICOLOGY; COMPUTER SIMULATION; DOSE RESPONSE; DOSE-RESPONSE; GOVERNMENT; HUMAN; MCMC; METABOLISM; METHODOLOGY; MONOTONICITY; MONTE CARLO METHOD; POLLUTANT; PROBABILITY; SEMIPARAMETRIC; STATISTICAL MODEL; TOXCAST; TOXICITY TESTING; UNITED STATES;

BAYESIAN; COMPUTATIONAL TOXICOLOGY; DOSE-RESPONSE; MCMC; MONOTONICITY; SEMIPARAMETRIC; TOXCAST;

ALGORITHMS; BAYES THEOREM; COMPUTER SIMULATION; DOSE-RESPONSE RELATIONSHIP, DRUG; ENVIRONMENTAL POLLUTANTS; ESTROGEN RECEPTOR ALPHA; HUMANS; MARKOV CHAINS; MODELS, STATISTICAL; MONTE CARLO METHOD; PPAR GAMMA; TOXICITY TESTS; UNITED STATES; UNITED STATES ENVIRONMENTAL PROTECTION AGENCY;

EID: 84895891991     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/biom.12114     Document Type: Article

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