Journal of Clinical Epidemiology
Volume 52, Issue 4 , Pages 371-374 , April 1999

Prognostic Factor Research in Oncology

  • Paul Hermanek

      Affiliations

    • Chirurgische Universitätsklinik, Erlangen, Germany
    • Corresponding Author InformationAddress correspondence to: Paul Hermanek, Chir. Univ. Klinik, Krankenhausstrasse 12, 91054 Erlangen, Germany

,Accepted 20 November 1998.

References 

  1. UICC. Prognostic Factors in Cancer. Hermanek P, Gospodarowicz MK, Henson DE, Hutter RVP, Sobin LH, Eds. Berlin: Springer; 1995.
  2. Hermanek P. Prognostic factor research. Aims, definition, preconditions. In:  Siewert JR,  Roder JD editor. Progress in Gastric Cancer Research 1997. Bologna: Monduzzi; 1997;
  3. UICC. TNM Classification of Malignant Tumours. 5th Edition. Sobin LH, Wittekind Ch, Eds. New York: John Wiley & Sons; 1997.
  4. Hermanek P, Hutter RVP, Sobin LH. Prognostic grouping. The next step in tumor classification. J Cancer Res Clin Oncol. 1990;116:513–516
  5. Hermanek P, Sobin LH, Fleming ID. What do we need beyond TNM?. Cancer. 1996;77:815–817
  6. Mc Cullagh P. Regression models for ordinal data. J R Stat Soc Series B. 1980;42:109–142
  7. Feinstein AR, Wells CK. A clinical-severity staging system for patients with lung cancer. Medicine. 1990;69:1–33
  8. Cox DR. Regression models and life-tables. J R Stat Soc Series B. 1972;34:187–220
  9. Hermanek P, Guggenmoos-Holzmann I, Gall FP. Prognostic factors in rectal carcinoma. Dis Col Rectum. 1989;32:593–599
  10. Gordon L, Ohlsen RA. Tree-structured survival analysis. Cancer Treat Rep. 1985;69:1065–1068
  11. Hermanek P, Guggenmoos-Holzmann I. Classification and regression trees (CART) for estimation of prognosis in patients with gastric carcinoma. J Cancer Res Clin Oncol. 1994;120:309–313
  12. Simon R. Altman DG. Statistical aspects of prognostic factor studies in oncology. Br J Cancer. 1994;69:979–985
  13. Hermanek P. Evaluation of new prognostic factors in oncology. Virch Arch. 1995;427:335–336
  14. Burke HP, Goodman PH, Rosen DB, Weinstein JN, Harrell FE, Marks JR, et al.  Artificial neuronal networks improve the accuracy of cancer survival prediction. Cancer. 1997;79:857–862
  15. Bottaci L, Drew PJ, Hartley JE, Hadfield MB, Farouk R, Lee PWR, et al.  Artificial neural networks applied to outcome prediction for colorectal cancer patients in separate institutions. Lancet. 1997;350:469–472

PII: S0895-4356(98)00177-2

Journal of Clinical Epidemiology
Volume 52, Issue 4 , Pages 371-374 , April 1999

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