Explorative Datenanalyse pp 204-211 | Cite as
Die Einsetzbarkeit der Statistischen Methoden zur Analyse von Überlebenszeiten
Conference paper
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.
Preview
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.CrossRefMATHGoogle Scholar
- BRESLOW, N.E. (1970). A generalized Kruskal-Wallis test for comparing K samples subject to unequal patterns of censorship. Biometrika 57, 579-594.CrossRefMATHGoogle Scholar
- COX, D.R. (1972). Regression models and life tables (with discussion). Journal of the Royal Statistical Society, Series B 34, 187-220.MATHGoogle Scholar
- COX, D.R. (1975). Partial likelihood. Biometrika 62, 269-276.CrossRefMATHMathSciNetGoogle Scholar
- FAREWELL, V.T. (1979). An application of Cox’s proportional hazard model to multiple infection data. Applied Statistics 28, 136-143.CrossRefGoogle 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.MATHMathSciNetGoogle 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.CrossRefGoogle Scholar
- GROSS, A.J., CLARK, V.A. (1975). Survival Distributions: Reliability Applications in the Biomedical Sciences. Wiley, New York.MATHGoogle Scholar
- KALBFLEISCH, J.D., PRENTICE, R.L. (1973). Marginal likelihoods based on Cox’s regression and life model. Biometrika 60, 267-278.CrossRefMATHMathSciNetGoogle Scholar
- KALBFLEISCH, J.D., PRENTICE, R.L. (1980). The Statistical Analysis of Failure Time Data. Wiley, New York.MATHGoogle Scholar
- KAY, R. (1977), Proportional hazard regression models and the analysis of censored survival data. Applied Statistics 26, 227-237.CrossRefGoogle 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.CrossRefGoogle 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.CrossRefGoogle 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.CrossRefGoogle Scholar
- PRENTICE, R.L., KALBFLEISCH, J.D. (1979). Hazard rate models with covariates. Biometrics 35, 25-39.CrossRefMATHMathSciNetGoogle 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.CrossRefMATHGoogle 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.CrossRefGoogle Scholar
Copyright information
© Springer-Verlag Berlin Heidelberg 1980