Abstract
Kaplan-Meier curves and estimates of survival are the most common way to present survival data in medicine, especially for cohorts with different lengths of follow-up. Moreover, Kaplan-Meier curves present a frequently used general graphic approach to display time-to-event outcomes. A solid understanding of how Kaplan-Meier curves are generated and how they should be analyzed and interpreted is of great importance to appraise urological literature in daily clinical practice. This article describes the basic principles of Kaplan-Meier analysis, possible variants and pitfalls. Improved knowledge of Kaplan-Meier analysis can help to improve Evidence-based urology and its application in patient care.
| Translated title of the contribution | Kaplan-Meier analysis in urological practice |
|---|---|
| Original language | German |
| Pages (from-to) | 838-841 |
| Number of pages | 4 |
| Journal | Urologe |
| Volume | 52 |
| Issue number | 6 |
| DOIs | |
| State | Published - Jun 1 2013 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Competing risk analysis
- Estimates of survival
- Evidence-based urology
- Prostate cancer
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