Skip to main content

Die Einsetzbarkeit der Statistischen Methoden zur Analyse von Überlebenszeiten

  • Conference paper
  • 60 Accesses

Part of the book series: Medizinische Informatik und Statistik ((MEDINFO,volume 26))

Zusammenfassung

In dieser Übersicht wird die Einsetzbarkeit der Methoden zur statistischen Analyse von Überlebenszeiten für konfirmatorische wie auch explorative Zwecke diskutiert. Es werden vor allem die nichtparametrischen Verfahren des Mehrstrichprobenvergleichs und der Regressionsanalyse beleuchtet, die im biomedizinischen Bereich Anwendung finden.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   44.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   59.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Literaturverzeichnis

  • BERNSTEIN, D., LAGAKOS, S.W. (1978). Sample size and power determination for statistical clinical trials. Journal of Statistical Computing and Simulation 8, 65-73.

    Article  MATH  Google Scholar 

  • BRESLOW, N.E. (1970). A generalized Kruskal-Wallis test for comparing K samples subject to unequal patterns of censorship. Biometrika 57, 579-594.

    Article  MATH  Google Scholar 

  • COX, D.R. (1972). Regression models and life tables (with discussion). Journal of the Royal Statistical Society, Series B 34, 187-220.

    MATH  Google Scholar 

  • COX, D.R. (1975). Partial likelihood. Biometrika 62, 269-276.

    Article  MATH  MathSciNet  Google Scholar 

  • FAREWELL, V.T. (1979). An application of Cox’s proportional hazard model to multiple infection data. Applied Statistics 28, 136-143.

    Article  Google Scholar 

  • FLEMING, T.R., O’BRIEN, P.C., O’FALLON, D.R., HARRINGTON, D.P. (1980). Modified Kolmogorov-Smirnov test procedures with application to arbitrarily right censored data. Biometrics, to appear.

    Google Scholar 

  • GEHAN, E.A. (1965). A generalized Wilcoxon test for comparing arbitrarily singly censored samples. Biometrika 52, 203-223.

    MATH  MathSciNet  Google Scholar 

  • GEORGE, S.L., DESU, M.M. (1974). Planning the size and duration of a clinical trial studying the time to some critical event. Journal of Chronic Diseases 27, 15-24.

    Article  Google Scholar 

  • GROSS, A.J., CLARK, V.A. (1975). Survival Distributions: Reliability Applications in the Biomedical Sciences. Wiley, New York.

    MATH  Google Scholar 

  • KALBFLEISCH, J.D., PRENTICE, R.L. (1973). Marginal likelihoods based on Cox’s regression and life model. Biometrika 60, 267-278.

    Article  MATH  MathSciNet  Google Scholar 

  • KALBFLEISCH, J.D., PRENTICE, R.L. (1980). The Statistical Analysis of Failure Time Data. Wiley, New York.

    MATH  Google Scholar 

  • KAY, R. (1977), Proportional hazard regression models and the analysis of censored survival data. Applied Statistics 26, 227-237.

    Article  Google Scholar 

  • MANTEL, N. (1966). Evaluation of survival data and two new rank order statistics arising in its consideration. Cancer Chemotherapy Reports 50, 163-170.

    Google Scholar 

  • PETO, R., PETO, J. (1972). Asymptotically efficient rank invariant test procedures (with discussion). Journal of the Royal Statistical Society, Series A 135, 185-206.

    Article  Google Scholar 

  • PETO, R., PIKE, M.C., ARMITAGE, P., BRESLOW, N.E., COX, D.R., HOWARD, S.V., MANTEL, N., McPHERSON, K., PETO, J., SMITH, P.G. (1976). Design and analysis of randomized clinical trials requiring prolonged observation of each patient: I. Introduction and design. British Journal of Cancer 34, 585-612.

    Article  Google Scholar 

  • PETO, R., PIKE, M.C., ARMITAGE, P., BRESLOW, N.E., COX, D.R., HOWARD, S.V., MANTEL, N., McPHERSON, K., PETO, J., SMITH, P.G. (1977). Design and analysis of randomized clinical trials requiring prolonged observation of each patient: II. Analysis and examples. British Journal of Cancer 35, 1-39.

    Article  Google Scholar 

  • PRENTICE, R.L., KALBFLEISCH, J.D. (1979). Hazard rate models with covariates. Biometrics 35, 25-39.

    Article  MATH  MathSciNet  Google Scholar 

  • PRENTICE, R.L., KALBFLEISCH, J.D., PETERSON, A.V.Jr., FLOURNOY, N., FAREWELL, V.T., BRESLOW, N.E. (1978). The analysis of failure times in the presence of competing risks. Biometrics 34, 541-554.

    Article  MATH  Google Scholar 

  • WAHRENDORF, J. (1980). The joint analysis of survival times and response rates in clinical trials on the treatment of cancer. Methods of Information in Medicine 19, 112-114.

    Google Scholar 

  • WOOLSON, R.F., TSUANG, M.T., FLEMING, J.A. (1980). Utility of the proportional hazards model for survival analysis of psychiatric data. Journal of Chronic Diseases 33, 183-195.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1980 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Wahrendorf, J.P. (1980). Die Einsetzbarkeit der Statistischen Methoden zur Analyse von Überlebenszeiten. In: Victor, N., Lehmacher, W., van Eimeren, W. (eds) Explorative Datenanalyse. Medizinische Informatik und Statistik, vol 26. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-81515-7_15

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-81515-7_15

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-10281-6

  • Online ISBN: 978-3-642-81515-7

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics