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A statistical model for cancer host survival

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Summary

A parametric statistical model for cancer host survival time is developed. This model is based on the disease development process. Agreement between the model and clinical data collected from 21 trophocarcinoma patients is excellent.

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References

  • Boag, J. W. 1949. Maximum likelihood estimates of the proportion of patients cured by cancer therapy. J. Royal Stat. Soc. (Series B). 11, 15.

    Google Scholar 

  • Chang, P. C. 1970. Statistical models for animal survival time in mouse lymphoma. Biometrics. 4, 749.

    Article  Google Scholar 

  • Gehan, E. A. and Siddiqui, M. M. 1973. Simple regression methods for survival time studies. J. Am. Stat. Assoc. 68, 848.

    Article  Google Scholar 

  • Gompertz, B. 1825. On the nature of the function expressive of the law of human mortality and on the new mode of determining the value of life contingencies. Phil. Trans. 513.

  • Gross, A. J. and Clark, V. A. 1975.In Survival Distributions: Reliability Applications in the Biomedical Sciences. New York, John Wiley and Sons.

    Google Scholar 

  • Meyer, J. A. 1973. Growth rate versus prognosis in resected primary bronchogenic carcinomas. Cancer. 31, 1468.

    Article  PubMed  CAS  Google Scholar 

  • Mould, R. F. and Boag, J. W. 1975. A test of several parametric statistical models for estimating success rate in the treatment of carcinoma cervix uteri. Br. J. Cancer. 32, 529.

    PubMed  CAS  Google Scholar 

  • Mould, R. F. 1976. Calculation of survival rates by the life table and other methods. Clin. Radiol. 27, 33.

    Article  PubMed  CAS  Google Scholar 

  • Spratt, J. S. and Spratt, T. L. 1964. Rates of growth of pulmonary metastases and host survival. Ann. Surg. 159, 161.

    Article  PubMed  Google Scholar 

  • Straus, M. J. 1974. The growth characteristics of lung cancer and its application to treatment design. Seminars in Oncology. 1, 167.

    PubMed  CAS  Google Scholar 

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Authors and Affiliations

  1. Department of Pharmacology, University College, Dublin

    A. Dunne

  2. Department of Mathematics, College of Technology, Kevin Street, Dublin

    I. A. Kinsella

Authors
  1. A. Dunne
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  2. I. A. Kinsella
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Dunne, A., Kinsella, I.A. A statistical model for cancer host survival. I.J.M.S. 148, 261–266 (1979). https://doi.org/10.1007/BF02938095

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  • DOI: https://doi.org/10.1007/BF02938095

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