A comparison of methods of benchmark-dose estimation for continuous response data

Risk Analysis

Volumn 19, Issue 3, 1999, Pages 453-459

  West, R Webster ^a   Kodell, Ralph L ^b  

^a UNIVERSITY OF SOUTH CAROLINA   (United States)

^b NATIONAL CENTER FOR TOXICOLOGICAL RESEARCH   (United States)

Author keywords

Efficiency; Nonquantal; Probit; Quantal

Indexed keywords

BENCHMARKING; COMPUTER SIMULATION; DRUG DOSAGE; MATHEMATICAL MODELS; MONTE CARLO METHODS; STATISTICAL METHODS; TOXICITY;

BENCHMARK DOSE ESTIMATION; CONTINUOUS RESPONSE DATA; QUANTAL PROBIT PROCEDURE;

RISK ASSESSMENT;

ANIMAL MODEL; ARTICLE; BODY WEIGHT; CANCER RISK; DOSE RESPONSE; NONHUMAN; RAT; RISK ASSESSMENT; STATISTICAL MODEL; TERATOGENICITY; TOXICITY TESTING;

ANIMALS; ANTITUBERCULAR AGENTS; BENCHMARKING; BIAS (EPIDEMIOLOGY); COMPUTER SIMULATION; CONFIDENCE INTERVALS; DOSE-RESPONSE RELATIONSHIP, DRUG; ISONIAZID; LIKELIHOOD FUNCTIONS; LINEAR MODELS; MODELS, STATISTICAL; MONTE CARLO METHOD; NORMAL DISTRIBUTION; PHARMACEUTICAL PREPARATIONS; PROBABILITY; RATS; RATS, INBRED F344; REPRODUCIBILITY OF RESULTS; RISK ASSESSMENT; WEIGHT GAIN;

EID: 0032868964     PISSN: 02724332     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1007052729375     Document Type: Article

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