Open AccessUsing cell replication data in mathematical modeling in carcinogenesis.
Author(s) -
Christopher J. Portier,
Annette KoppSchneider,
C. D. Sherman
Publication year - 1993
Publication title -
environmental health perspectives
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.257
H-Index - 282
eISSN - 1552-9924
pISSN - 0091-6765
DOI - 10.1289/ehp.93101s579
Subject(s) - computer science , estimation , replication (statistics) , carcinogenesis , pace , mathematical model , computational biology , data science , biology , cancer , mathematics , statistics , genetics , management , economics , geodesy , geography
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.
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