Using cell replication data in mathematical modeling in carcinogenesis.
Risk estimation involves the application of quantitative models of dose versus response to carcinogenicity data. Recent advances in biology, computing, and mathematics have led to the application of mathematically complicated, mechanistically based models of carcinogenesis to the estimation of risks. This paper focuses on two aspects of this application, distinguishing between models using available data and the development of new models to keep pace with research developments.
Portier
C J
CJ
Risk Methodology Section, National Institute of Environmental Health Sciences, Research Triangle Park, NC 27709.
Kopp-Schneider
A
A
Sherman
C D
CD
D000818:Animals; D001699:Biometry; D002273:Carcinogens / Q000633:toxicity; D002455:Cell Division; D003043:Cocarcinogenesis; D006801:Humans; D008433:Mathematics; D008954:Models, Biological; D009369:Neoplasms / Q000209:etiology* / Q000473:pathology; D014411:Neoplastic Stem Cells / Q000473:pathology; D012306:Risk
D002273:Carcinogens