Literature DB >> 5071187

Statistical analysis of the bioassay of continuous carcinogens.

R Peto, P N Lee, W S Paige.   

Abstract

In an experiment consisting of the continuous constant application of various carcinogenic regimens to a pure strain of experimental animals for a long period, the cancer incidence rates so caused may be studied and compared by the fit of an appropriate class of statistical distributions. In this paper we show that a Weibull distribution in which the age-specific cancer incidence rate rises as a power of time since first risk is more appropriate than a lognormal distribution. If the Weibull family of distributions is used, more information can be extracted from the data, and differences of toxicity between various regimens will not bias the comparison of their carcinogenic forces.

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Year:  1972        PMID: 5071187      PMCID: PMC2008655          DOI: 10.1038/bjc.1972.34

Source DB:  PubMed          Journal:  Br J Cancer        ISSN: 0007-0920            Impact factor:   7.640


  5 in total

1.  A mathematical model for the age distribution of cancer in man.

Authors:  P J Cook; R Doll; S A Fellingham
Journal:  Int J Cancer       Date:  1969-01-15       Impact factor: 7.396

2.  Estimating survival functions from the life table.

Authors:  E A Gehan
Journal:  J Chronic Dis       Date:  1969-02

3.  A method of analysis of a certain class of experiments in carcinogenesis.

Authors:  M C Pike
Journal:  Biometrics       Date:  1966-03       Impact factor: 2.571

4.  Carcinogenic action of cigarette smoke condensate on mouse skin.

Authors:  T D Day
Journal:  Br J Cancer       Date:  1967-03       Impact factor: 7.640

5.  AN ACTUARIAL METHOD OF ANALYSIS OF AN EXPERIMENT IN TWO-STAGE CARCINOGENESIS.

Authors:  M C PIKE; F J ROE
Journal:  Br J Cancer       Date:  1963-12       Impact factor: 7.640

  5 in total
  8 in total

1.  Use of a multistage model to predict time trends in smoking induced lung cancer.

Authors:  J B Swartz
Journal:  J Epidemiol Community Health       Date:  1992-06       Impact factor: 3.710

2.  Dose-time-response functions for toxic chemicals.

Authors:  J K Piotrowski; J M Buchanan
Journal:  Environ Monit Assess       Date:  1982-03       Impact factor: 2.513

3.  Mitochondrial Bcl-2 family dynamics define therapy response and resistance in neuroblastoma.

Authors:  Kelly C Goldsmith; Michelle Gross; Susan Peirce; Dema Luyindula; Xueyuan Liu; Annette Vu; Michael Sliozberg; Rong Guo; Huaqing Zhao; C Patrick Reynolds; Michael D Hogarty
Journal:  Cancer Res       Date:  2012-05-15       Impact factor: 12.701

4.  Some applications of categorical data analysis to epidemiological studies.

Authors:  J E Grizzle; G G Koch
Journal:  Environ Health Perspect       Date:  1979-10       Impact factor: 9.031

5.  Editorial: Guidelines on the analysis of tumour rates and death rates in experimental animals.

Authors:  R Peto
Journal:  Br J Cancer       Date:  1974-02       Impact factor: 7.640

6.  Relative potency estimation for synthetic petroleum skin carcinogens.

Authors:  J M Holland; D A Wolf; B R Clark
Journal:  Environ Health Perspect       Date:  1981-04       Impact factor: 9.031

7.  A study of the dose response of mouse skin to cigarette smoke condensate.

Authors:  R F Davies; P N Lee; K Rothwell
Journal:  Br J Cancer       Date:  1974-08       Impact factor: 7.640

8.  Quantitative Risk Assessment in the 1970s: A Personal Remembrance.

Authors:  David G Hoel
Journal:  Dose Response       Date:  2018-10-03       Impact factor: 2.658

  8 in total

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