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...

Descripción completa

Detalles Bibliográficos
Autores principales: Portier, C J, Kopp-Schneider, A, Sherman, C D
Formato: Texto
Lenguaje:English
Publicado: 1993
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1519438/
https://www.ncbi.nlm.nih.gov/pubmed/8013428
_version_ 1782128652919504896
author Portier, C J
Kopp-Schneider, A
Sherman, C D
author_facet Portier, C J
Kopp-Schneider, A
Sherman, C D
author_sort Portier, C J
collection PubMed
description 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.
format Text
id pubmed-1519438
institution National Center for Biotechnology Information
language English
publishDate 1993
record_format MEDLINE/PubMed
spelling pubmed-15194382006-07-26 Using cell replication data in mathematical modeling in carcinogenesis. Portier, C J Kopp-Schneider, A Sherman, C D Environ Health Perspect Research Article 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. 1993-12 /pmc/articles/PMC1519438/ /pubmed/8013428 Text en
spellingShingle Research Article
Portier, C J
Kopp-Schneider, A
Sherman, C D
Using cell replication data in mathematical modeling in carcinogenesis.
title Using cell replication data in mathematical modeling in carcinogenesis.
title_full Using cell replication data in mathematical modeling in carcinogenesis.
title_fullStr Using cell replication data in mathematical modeling in carcinogenesis.
title_full_unstemmed Using cell replication data in mathematical modeling in carcinogenesis.
title_short Using cell replication data in mathematical modeling in carcinogenesis.
title_sort using cell replication data in mathematical modeling in carcinogenesis.
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1519438/
https://www.ncbi.nlm.nih.gov/pubmed/8013428
work_keys_str_mv AT portiercj usingcellreplicationdatainmathematicalmodelingincarcinogenesis
AT koppschneidera usingcellreplicationdatainmathematicalmodelingincarcinogenesis
AT shermancd usingcellreplicationdatainmathematicalmodelingincarcinogenesis

Ejemplares similares