Skip to main content

Kaplan-Meier Survival Analysis

  • Living reference work entry
  • First Online:
Encyclopedia of Cancer
  • 125 Accesses

Synonyms

Kaplan–Meier product limit estimator; Life table estimates; Time-to-event analysis

Definition

Kaplan–Meier survival analysis is a nonparametric method of summarizing survival event probabilities in tabular and graphical form.

Characteristics

Often, the focus of cancer epidemiology studies is on measurement of disease-free survival time (see also epidemiology of cancer). For example, the success of a breast cancer treatment might be discussed in terms of time-until-relapse or cancer-free survival time. To measure time effectively, a meaningful origin is chosen such as birth, first diagnosis of cancer, beginning of treatment, or last known occurrence of the disease. In a randomized study or clinical trial, we might begin measuring time at the point of randomization to treatment. Typically, time is measured prospectively in a survival study in contrast to the retrospective measurement of exposure in the case–control association study.

The outcome of interest is often measured as...

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

Access this chapter

Institutional subscriptions

References

  • Allison PD (1995) Survival analysis using the SAS system: a practical guide. SAS Institute, Cary

    Google Scholar 

  • Cox DR (1972) Regression models and life tables. J R Stat Soc B 34:187–220

    Google Scholar 

  • Kaplan EL, Meier P (1958) Nonparametric estimation from incomplete observations. J Am Stat Assoc 53:457–481

    Article  Google Scholar 

  • Lee ET (1992) Statistical methods for survival data analysis, 2nd edn. Wiley, New York

    Google Scholar 

See Also

  • (2012) Censoring. In: Schwab M (ed) Encyclopedia of Cancer, 3rd edn. Springer Berlin Heidelberg, p 744. doi:10.1007/978-3-642-16483-5_1022

    Google Scholar 

  • (2012) Cox Proportional Hazards Model. In: Schwab M (ed) Encyclopedia of Cancer, 3rd edn. Springer Berlin Heidelberg, pp 988–989. doi:10.1007/978-3-642-16483-5_1357

    Google Scholar 

  • (2012) Mann–Whitney U-test. In: Schwab M (ed) Encyclopedia of Cancer, 3rd edn. Springer Berlin Heidelberg, p 2160. doi:10.1007/978-3-642-16483-5_3528

    Google Scholar 

  • (2012) Nonparametric. In: Schwab M (ed) Encyclopedia of Cancer, 3rd edn. Springer Berlin Heidelberg, p 2538. doi:10.1007/978-3-642-16483-5_4122

    Google Scholar 

  • (2012) Parametric. In: Schwab M (ed) Encyclopedia of Cancer, 3rd edn. Springer Berlin Heidelberg, p 2784. doi:10.1007/978-3-642-16483-5_4385

    Google Scholar 

  • (2012) Randomization. In: Schwab M (ed) Encyclopedia of Cancer, 3rd edn. Springer Berlin Heidelberg, p 3164. doi:10.1007/978-3-642-16483-5_4944

    Google Scholar 

  • (2012) Survival. In: Schwab M (ed) Encyclopedia of Cancer, 3rd edn. Springer Berlin Heidelberg, p 3583. doi:10.1007/978-3-642-16483-5_5606

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Warren L. May .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer-Verlag Berlin Heidelberg

About this entry

Cite this entry

May, W.L. (2014). Kaplan-Meier Survival Analysis. In: Schwab, M. (eds) Encyclopedia of Cancer. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27841-9_3196-2

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-27841-9_3196-2

  • Received:

  • Accepted:

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Online ISBN: 978-3-642-27841-9

  • eBook Packages: Springer Reference Biomedicine and Life SciencesReference Module Biomedical and Life Sciences

Publish with us

Policies and ethics