This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
5.6 Literatur
Altman DG, De Stavola BL, Love SB, Stepniewska KA. Review of survival analyses published in cancer journals. British Journal of Cancer 1995; 72: 511–518.
Brookmeyer R, Crowley J. A confidence interval for the median survival tima. Biometrics 1982; 38: 29–41.
Bull K, Spiegelhalter DJ. Tutorial biostatistics: survival analysis in observational studies. Statistics in Medicine 1997, 16: 1041–1074.
Cox DR, Oakes D. Analysis of survival data. London: Chapman and Hall, 1984.
Fleming TR, O’Fallon JR, O’Brien PC, Harrington DP. Modified Kolmogorov-Smirnov test procedures with applications to arbitrarily censored data. Biometrics 1980; 36: 607–625.
Fleming TR, Green SJ, Harrington DP. Considerations for monitoring and evaluating treatment effects in clinical trials. Controlled Clinical Trials 1984; 5: 55–66.
Gehan E. A generalized Wilcoxon test for comparing arbitrarily single censored samples. Biometrika 1965; 52: 203–223.
Gill R, Schumacher M. A simple test of the proportional hazards assumption. Biometrika 1987; 74: 289–300.
Greenwood M. The natural duration of cancer. Reports on Public Health and Medical Subjects 33, London: Her Majesty’s Stationery Office, 1–26, 1926.
Hall WJ, Wellner JA. Confidence bands for a survival curve from censored data. Biometrika 1980; 67: 133–143.
Kalbfleisch JD, Prentice RL. The statistical analysis of failure time data. New York: Wiley, 1980.
Kaplan EL, Meier P. Nonparametric estimation from incomplete observations. Journal of the American Statistical Association 1958; 53: 457–481.
Kay R, Schumacher M. Unbiased assessment of treatment effects on disease recurrence and survival in clinical trials. Statistics in Medicine 1983; 2: 41–58.
Marubini E, Valsecchi MG. Analyising survival data from clinical trials and observational studies. Chichester: Wiley, 1994.
Parmar MKB, Machin D. Survival analysis: a practical approach. Chichester: Wiley, 1995.
Peto R, Peto J. Asymptotically efficient rank invariant test procedures (with discussion). Journal of the Royal Statistical Society (A) 1972; 135–206.
Peto R, Pike, MC, Armitage P, Breslow NE, Cox DR, Howard SV, Mantel N, McPherson K, Peto J, Smith PG. Design and analysis of clinical trials requiring prolonged observation of each patient. British Journal of Cancer, Part I 1976; 34: 585–612; Part II 1977; 35: 1–39.
Prentice RL. Linear rank tests with right censored data. Biometrika 1978, 63, 291–298.
Schumacher M. Power and sample size determiation in survival time studies with special regard to the censoring mechanism. Meth. Inform. Med. 1981; 20: 110–115.
Schumacher M. Evaluation of nonproportional treatment effects in cancer clinical trials. Cancer Investigation 1988; 6.
Schumacher M, Olschewski M, Schmoor C. The impact of heterogeneity on the comparison of survival times. Statistics in Medicine 1987; 6: 773–784.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Schumacher, M., Olschewski, M. (2007). Analyse von Ereigniszeiten - Teil I. In: Methodik klinischer Studien. Statistik und ihre Anwendungen. Springer, Berlin, Heidelberg . https://doi.org/10.1007/978-3-540-36990-5_5
Download citation
DOI: https://doi.org/10.1007/978-3-540-36990-5_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-36989-9
Online ISBN: 978-3-540-36990-5
eBook Packages: Life Science and Basic Disciplines (German Language)