Literature DB >> 1804462

A stochastic two-stage carcinogenesis model: a new approach to computing the probability of observing tumor in animal bioassays.

G L Yang1, C W Chen.   

Abstract

A new definition of probability of observing tumor in animal bioassay is developed. It is derived from a two-stage stochastic model for carcinogenesis with time-dependent birth and death rates for cell proliferation. The model takes into account the method of collecting data on preneoplastic and neoplastic lesions. The new definition is appropriate for analyzing the presence or absence of tumors in animal bioassays.

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Year:  1991        PMID: 1804462     DOI: 10.1016/0025-5564(91)90063-o

Source DB:  PubMed          Journal:  Math Biosci        ISSN: 0025-5564            Impact factor:   2.144


  5 in total

1.  Destructive weighted Poisson cure rate models.

Authors:  Josemar Rodrigues; Mário de Castro; N Balakrishnan; Vicente G Cancho
Journal:  Lifetime Data Anal       Date:  2010-11-13       Impact factor: 1.588

2.  The destructive negative binomial cure rate model with a latent activation scheme.

Authors:  Vicente G Cancho; Dipankar Bandyopadhyay; Francisco Louzada; Bao Yiqi
Journal:  Stat Methodol       Date:  2013-07

3.  Modeling progression in radiation-induced lung adenocarcinomas.

Authors:  Hatim Fakir; Werner Hofmann; Rainer K Sachs
Journal:  Radiat Environ Biophys       Date:  2010-01-08       Impact factor: 1.925

Review 4.  What role for biologically based dose-response models in estimating low-dose risk?

Authors:  Kenny S Crump; Chao Chen; Weihsueh A Chiu; Thomas A Louis; Christopher J Portier; Ravi P Subramaniam; Paul D White
Journal:  Environ Health Perspect       Date:  2010-01-04       Impact factor: 9.031

5.  Cancer potential in liver, lung, bladder and kidney due to ingested inorganic arsenic in drinking water.

Authors:  C J Chen; C W Chen; M M Wu; T L Kuo
Journal:  Br J Cancer       Date:  1992-11       Impact factor: 7.640

  5 in total

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