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Cancer Survival Analysis

Abstract

Analysis of cancer survival data and related outcomes is necessary to assess cancer treatment programs and to monitor the progress of regional and national cancer control programs. The appropriate use of data from cancer registries for outcomes analyses requires an understanding of the correct application of appropriate quantitative tools and the limitations of the analyses imposed by the source of data, the degree to which the available data represent the population, and the quality and completeness of registry data. In this chapter the most common survival analysis methodology is illustrated, basic terminology is defined, and the essential elements of data collection and reporting are described. Although the underlying principles are applicable to both, the focus of this discussion is 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.

Keywords

  • National Cancer Control Programme
  • Statistical Underpinnings
  • Observed Survival Rates
  • Uncensored Case
  • Life Table Method

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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  • DOI: 10.1007/978-1-4614-2080-4_2
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© 2012 American Joint Committee on Cancer

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Compton, C.C., Byrd, D.R., Garcia-Aguilar, J., Kurtzman, S.H., Olawaiye, A., Washington, M.K. (2012). Cancer Survival Analysis. In: Compton, C., Byrd, D., Garcia-Aguilar, J., Kurtzman, S., Olawaiye, A., Washington, M. (eds) AJCC Cancer Staging Atlas. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-2080-4_2

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  • DOI: https://doi.org/10.1007/978-1-4614-2080-4_2

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  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4614-2079-8

  • Online ISBN: 978-1-4614-2080-4

  • eBook Packages: MedicineMedicine (R0)