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Survival Analysis

In: Handbook of Epidemiology

Author

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  • Peter D. Sasieni

    (Mathematics & Statistics Cancer Research UK Clinical Centre at Barts, Cancer Research UK Department of Epidemiology
    Charterhouse Square, The London Wolfson Institute of Preventive Medicine)

Abstract

The term survival analysis originally referred to statistical study of the time to death of a group of individuals. From a mathematical perspective it is irrelevant whether one is studying time until death or time to any other event and so the term has come to be applied to methods for analysing “time to event data”. Although often not explicitly stated, we are always interested in the time between two events. For instance one might be studying the age of death (the time from birth until death), survival of cancer patients (the time fromdiagnosis until death), or the incubation time of a virus (time from infection until the development of symptomatic disease). Survival analysis is more complicated than the analysis of other measurements because one often has only partial information regarding the survival time for some individuals. The most common formof partial information arises when a study is stopped before all participants have died. At that point we might know that Mrs Patel survived for at least 3.7 years, but have no idea whether she will die a week later or 25 years later. The observation on Mrs Patel is said to be (right) censored at 3.7 years.

Suggested Citation

  • Peter D. Sasieni, 2005. "Survival Analysis," Springer Books, in: Wolfgang Ahrens & Iris Pigeot (ed.), Handbook of Epidemiology, chapter 0, pages 693-728, Springer.
    • Handle: RePEc:spr:sprchp:978-3-540-26577-1_18
    DOI: 10.1007/978-3-540-26577-1_18
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