Abstract
In 1958, Edward L. Kaplan and Paul Meier collaborated to publish a seminal paper on how to deal with incomplete observations. Subsequently, the Kaplan-Meier curves and estimates of survival data have become a familiar way of dealing with differing survival times (times-to-event), especially when not all the subjects continue in the study. "Survival" times need not relate to actual survival with death being the event; the "event" may be any event of interest. Kaplan-Meier analyses are also used in nonmedical disciplines. The purpose of this article is to explain how Kaplan-Meier curves are generated and analyzed. Throughout this article, we will discuss Kaplan-Meier estimates in the context of "survival" before the event of interest. Two small groups of hypothetical data are used as examples in order for the reader to clearly see how the process works. These examples also illustrate the crucially important point that comparative analysis depends upon the whole curve and not upon isolated points.
Original language | English (US) |
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Pages (from-to) | 331-336 |
Number of pages | 6 |
Journal | Otolaryngology - Head and Neck Surgery |
Volume | 143 |
Issue number | 3 |
DOIs | |
State | Published - Sep 2010 |
Externally published | Yes |
Funding
The authors wish to acknowledge the support of Kathryn Trinkaus, PhD, of the Biostatistics Core, Siteman Comprehensive Cancer Center. Sponsorships: This work was supported by National Cancer Institute Cancer Center Support Grant P30 CA091842 .
ASJC Scopus subject areas
- Surgery
- Otorhinolaryngology