Biomaterial Database

Monte Carlo results for the 3-poly test for animal carcinogenicity experiments. 1996

W Y Tan, and J H Zhang

Department of Mathematical Sciences, University of Memphis, TN 38152, USA.

By using a two stage model of carcinogenesis, we generated Monte Carlo studies to assess the efficiency and robustness of the 3-poly test for animal carcinogenicity experiments. The Monte Carlo results indicate that the 3-poly test is quite powerful for detecting the carcinogenic effects of complete carcinogens, moderate promoters, and initiators with moderate or large effect, but, in some cases, it is less powerful for weak initiators or weak promoters. As expected, the 3-poly test is insensitive to the toxicity of many agents.

UI	MeSH Term	Description	Entries
D009010	Monte Carlo Method	In statistics, a technique for numerically approximating the solution of a mathematical problem by studying the distribution of some random variable, often generated by a computer. The name alludes to the randomness characteristic of the games of chance played at the gambling casinos in Monte Carlo. (From Random House Unabridged Dictionary, 2d ed, 1993)	Method, Monte Carlo
D000818	Animals	Unicellular or multicellular, heterotrophic organisms, that have sensation and the power of voluntary movement. Under the older five kingdom paradigm, Animalia was one of the kingdoms. Under the modern three domain model, Animalia represents one of the many groups in the domain EUKARYOTA.	Animal,Metazoa,Animalia
D015197	Carcinogenicity Tests	Tests to experimentally measure the tumor-producing/cancer cell-producing potency of an agent by administering the agent (e.g., benzanthracenes) and observing the quantity of tumors or the cell transformation developed over a given period of time. The carcinogenicity value is usually measured as milligrams of agent administered per tumor developed. Though this test differs from the DNA-repair and bacterial microsome MUTAGENICITY TESTS, researchers often attempt to correlate the finding of carcinogenicity values and mutagenicity values.	Tumorigenicity Tests,Carcinogen Tests,Carcinogenesis Tests,Carcinogenic Activity Tests,Carcinogenic Potency Tests,Carcinogen Test,Carcinogenesis Test,Carcinogenic Activity Test,Carcinogenic Potency Test,Carcinogenicity Test,Potency Test, Carcinogenic,Potency Tests, Carcinogenic,Test, Carcinogen,Test, Carcinogenesis,Test, Carcinogenic Activity,Test, Carcinogenic Potency,Test, Carcinogenicity,Test, Tumorigenicity,Tests, Carcinogen,Tests, Carcinogenesis,Tests, Carcinogenic Activity,Tests, Carcinogenic Potency,Tests, Carcinogenicity,Tests, Tumorigenicity,Tumorigenicity Test
D015233	Models, Statistical	Statistical formulations or analyses which, when applied to data and found to fit the data, are then used to verify the assumptions and parameters used in the analysis. Examples of statistical models are the linear model, binomial model, polynomial model, two-parameter model, etc.	Probabilistic Models,Statistical Models,Two-Parameter Models,Model, Statistical,Models, Binomial,Models, Polynomial,Statistical Model,Binomial Model,Binomial Models,Model, Binomial,Model, Polynomial,Model, Probabilistic,Model, Two-Parameter,Models, Probabilistic,Models, Two-Parameter,Polynomial Model,Polynomial Models,Probabilistic Model,Two Parameter Models,Two-Parameter Model