Literature DB >> 3615992

Biologically motivated cancer risk models.

T W Thorslund, C C Brown, G Charnley.   

Abstract

A two-stage dose response model is proposed for use in cancer risk assessment. The model assumes that transformation probabilities and cellular dynamics are exposure- and time-dependent.

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Year:  1987        PMID: 3615992     DOI: 10.1111/j.1539-6924.1987.tb00974.x

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


  9 in total

1.  Sport fish consumption advisories and projected cancer risks in the Great Lakes basin.

Authors:  J A Foran; M Cox; D Croxton
Journal:  Am J Public Health       Date:  1989-03       Impact factor: 9.308

2.  Low-dose radiation and genotoxic chemicals can protect against stochastic biological effects.

Authors:  Bobby R Scott; Dale M Walker; Vernon E Walker
Journal:  Nonlinearity Biol Toxicol Med       Date:  2004-07

3.  Statistical properties of a two-stage model of carcinogenesis.

Authors:  C J Portier
Journal:  Environ Health Perspect       Date:  1987-12       Impact factor: 9.031

4.  Physiologically based pharmacokinetics and cancer risk assessment.

Authors:  M E Andersen; K Krishnan
Journal:  Environ Health Perspect       Date:  1994-01       Impact factor: 9.031

5.  Biological bases for cancer dose-response extrapolation procedures.

Authors:  J D Wilson
Journal:  Environ Health Perspect       Date:  1991-01       Impact factor: 9.031

Review 6.  Biostatistical issues in the design and analysis of animal carcinogenicity experiments.

Authors:  C J Portier
Journal:  Environ Health Perspect       Date:  1994-01       Impact factor: 9.031

7.  Two-stage and Weibull models for carcinogenesis applied to the ED01 discontinued dosing data.

Authors:  R L Kodell; R P Felton
Journal:  Environ Health Perspect       Date:  1991-05       Impact factor: 9.031

Review 8.  Quantitative models for lung cancer induced by cigarette smoke.

Authors:  B Altshuler
Journal:  Environ Health Perspect       Date:  1989-05       Impact factor: 9.031

Review 9.  Cancer risk assessment of extremely low frequency electric and magnetic fields: a critical review of methodology.

Authors:  J McCann
Journal:  Environ Health Perspect       Date:  1998-11       Impact factor: 9.031

  9 in total

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