Abstract
Analyses of cancer survival data and related outcomes are quantitative tools commonly used to assess cancer treatment programs and to monitor the progress of regional and national cancer control programs. In this chapter the most common survival analysis methodology will be illustrated, basic terminology will be defined, and the essential elements of data collection and reporting will be described. Although the underlying principles are applicable to both, the focus of this discussion will be on the use of survival analysis to describe data typically available in cancer registries rather than to analyze research data obtained from clinical trials or laboratory experimentation. Discussion of statistical principles and methodology will be limited. Persons interested in statistical underpinnings or research applications are referred to textbooks that explore these topics at length (Cox and Oakes, 1984; Fleming and Harrington, 1991; Kalbfleisch and Prentice, 1980; Kleinbaum, 1996; Lee, 1992).
This is a preview of subscription content, log in via an institution.
Preview
Unable to display preview. Download preview PDF.
Bibliography
American Joint Committee on Cancer: AJCC Cancer Staging Manual, 5th ed. Fleming ID, Cooper JS, Henson DE et al (Eds.). Philadelphia: Lippincott-Raven, 1997
Berkson J, Gage RP: Calculation of survival rates for cancer. Proc Staff Meet Mayo Clin 25:270–286, 1950
Cox DR: Regression models and life tables. J R Stat Soc B 34:187–220, 1972
Cox DR, Oakes D: Analysis of survival data. London: Chapman and Hall, 1984
Ederer F, Axtell LM, Cutler SJ: The relative survival rate: a statistical methodology. Natl Cancer Inst Monogr 6:101–121, 1961
Fleming TR, Harrington DP: Counting processes and survival analysis. New York: John Wiley, 1991
Kalbfleisch JD, Prentice RL: The statistical analysis of failure time data. New York: John Wiley, 321, 1980
Kaplan EL, Meier P: Nonparametric estimation from incomplete observations. J Am Stat Assn 53:457–481, 1958
Kleinbaurn DG: Survival analysis: a self learning text. New York: Springer-Verlag, 1996
Lee ET: Statistical methods for survival data analysis. New York: John Wiley, 1992
Mantel N: Evaluation of survival data and two new rank order statistics arising in its consideration. Cancer Chemother Rep 50:163–170, 1966
Ries LAG, Eisner MP, Kosary CL, et al (Eds.): SEER cancer statistics review, 1973–1997: tables and graphs, National Cancer Institute. Bethesda, MD: National Institutes of Health, NIH Pub. No. 00–2789, 2000
Author information
Authors and Affiliations
Consortia
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2002 Springer Science+Business Media New York
About this chapter
Cite this chapter
American Joint Committee on Cancer. (2002). Cancer Survival Analysis. In: Greene, F.L., et al. AJCC Cancer Staging Manual. Springer, New York, NY. https://doi.org/10.1007/978-1-4757-3656-4_2
Download citation
DOI: https://doi.org/10.1007/978-1-4757-3656-4_2
Publisher Name: Springer, New York, NY
Print ISBN: 978-3-540-00595-7
Online ISBN: 978-1-4757-3656-4
eBook Packages: Springer Book Archive