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Methods Inf Med 1984; 23(03): 154-156
DOI: 10.1055/s-0038-1635335
Original Article
Schattauer GmbH

CRITLEVEL: An Exploratory Procedure for the Evaluation of Quantitative Prognostic Factors

CRITLEVEL: Ein exploratives Verfahren zur Auswertung quantitativer prognostischer Faktoren
U. Abel
1   (From the German Cancer Research Center, Heidelberg, Institute of Documentation, Information and Statistics; Director: Prof. Dr. G. Wagner)
,
Jutta Berger
1   (From the German Cancer Research Center, Heidelberg, Institute of Documentation, Information and Statistics; Director: Prof. Dr. G. Wagner)
,
H. Wiebelt
1   (From the German Cancer Research Center, Heidelberg, Institute of Documentation, Information and Statistics; Director: Prof. Dr. G. Wagner)
› Author Affiliations
Further Information

Publication History

Publication Date:
20 February 2018 (online)

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Summary

CRITLEVEL is a simple but efficient graphic tool for determining those levels of quantitative prognostic factors at which the most pronounced deterioration of prognosis takes place.

CRITLEVEL ist ein einfaches, aber effizientes Verfahren zur Bestimmung derjenigen Werte quantitativer prognostischer Faktoren, bei denen die ausgeprägteste Prognoseverschlechterung eintritt.

Key-Words:

Prognostic Factors - Critical Values - Failure Time Analysis

Schlüssel-Wörter:

Prognostische Faktoren - kritischer Wert - Failure-time-Analyse
 

  • References

  • 1 Breslow A.. Tumor Thickness, Level of Invasion and Node Dissection in Stage I Cutaneous Melanoma. Ann. Surgery 1975; 182: 572-75.
    CrossrefPubMedGoogle Scholar
  • 2 Cox D. R.. Regression Models and Life Tables. J. roy. Statist. Soc. B 1972; 34: 187-202.
    PubMedGoogle Scholar
  • 3 Day (Jr.) C. L., Fitzpatrick T. B., Harris M. N., Kopf A. W., Lew R. A., Mihm M. C, Sober A. J.. The Natural Breakpoints for Primary-Tumor Thickness in Clinical I Stage Melanoma. New Engl. J. Med 1981; 1155; 305
    PubMedGoogle Scholar
  • 4 Edler L., Abel U., Fritze D., Massner B., Becher R., Kaufmann M., Hartlapp J., Queisser W., Mayr A. C, Drings P., Westerhausen M., Jungi W. F., Senn H. J.. Statistical Evaluation of the Multicenter Metastatic Breast Cancer Trial OSAKO 11/ 77 of Combination Chemotherapy (VAC-FMC) with Immunostimulation by Cory-nebacterium Parvum with Different Forms of Application. Techn. Report 2/83, Dep. of Biostatistics, DKFZ, Heidelberg 1983
    PubMedGoogle Scholar
  • 5 Heite H. J.. Die Arbeitsgemeinschaft Malignes Melanom der DFG - das Modell einer durch Dokumentationsprogramme gelenkten Gemeinschaftsforschung. Der niedergelassene Arzt 1976; 25: 128-32.
    PubMedGoogle Scholar
  • 6 Kendall M. G., Stuart A.. The Advanced Theory of Statistics. Vol 1. London: C. Griffin & Co 1963
    PubMedGoogle Scholar
  • 7 Peto R., Pike M. C, Armitage P., Breslow N. F., Cox D. R., Howard S. V., Mantel N., McPherson K., Peto J., Smith P.G.. Design and Analysis of Ran-domized Clinical Trials Requiring Prolonged Observation of Each Patient. Part II: Analyses and Examples. Brit. J. Cancer 1977; 35: 1-39.
    PubMedGoogle Scholar
  • 8 Sidak Z.. Rectangular Confidence Regions for the Means of Multivariate Normal Distributions. J. Amer. Statist. Assoc 1967; 62: 626-33.
    PubMedGoogle Scholar
  • 9 Weber E.. (Ed) SURVIVAL. Statistische Auswertung biomedizinischer Daten. Teil II: Analyse zensierter Beobachtungen. Inst. für Dokumentation, Information und Statistik, DKFZ, Heidelberg 1982
    PubMedGoogle Scholar