Literature DB >> 7846316

On the exact hazard and survival functions of the MVK stochastic carcinogenesis model.

Q Zheng1.   

Abstract

The MVK two-stage carcinogenesis model is one of the most widely accepted mechanistic models in carcinogenesis modeling. However, due to a perceived difficulty in obtaining analytic solutions for the hazard and survival functions, approximations and numerical methods have been used to calculate these two fundamental quantities. This paper focuses on a special case of the homogeneous MVK model where the number of normal cells is constant. The probability generating function (pgf) for the number of tumor cells is derived, and the exact analytic solutions to the hazard and survival functions are obtained from the pgf.

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Year:  1994        PMID: 7846316     DOI: 10.1111/j.1539-6924.1994.tb00079.x

Source DB:  PubMed          Journal:  Risk Anal        ISSN: 0272-4332            Impact factor:   4.000


  6 in total

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Authors:  Peter Jacob; Linda Walsh; Markus Eidemüller
Journal:  Radiat Environ Biophys       Date:  2008-05-15       Impact factor: 1.925

2.  On the parameters of the clonal expansion model.

Authors:  W F Heidenreich
Journal:  Radiat Environ Biophys       Date:  1996-05       Impact factor: 1.925

3.  Modelling of carcinogenesis and low-dose hypersensitivity: an application to lung cancer incidence among atomic bomb survivors.

Authors:  Vesna Jacob; Peter Jacob
Journal:  Radiat Environ Biophys       Date:  2003-12-16       Impact factor: 1.925

Review 4.  Topics in cancer risk assessment.

Authors:  S S Olin; D A Neumann; J A Foran; G J Scarano
Journal:  Environ Health Perspect       Date:  1997-02       Impact factor: 9.031

5.  Heterogeneity in multistage carcinogenesis and mixture modeling.

Authors:  Sandro Gsteiger; Stephan Morgenthaler
Journal:  Theor Biol Med Model       Date:  2008-07-21       Impact factor: 2.432

6.  Enhanced risk of cancer in companion animals as a response to the longevity.

Authors:  Moeko Tanaka; Sachi Yamaguchi; Yoh Iwasa
Journal:  Sci Rep       Date:  2020-11-11       Impact factor: 4.379

  6 in total

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