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Kaplan-Meier analysis in urological practice [Kaplan-Meier-Analysen in der urologischen Praxis]
被引:0
|作者:
Rink M.
[1
]
Kluth L.A.
[1
,2
]
Shariat S.F.
[2
,3
]
Fisch M.
[1
]
Dahlem R.
[1
]
Dahm P.
[4
]
机构:
[1] Klinik und Poliklinik für Urologie, Universitätsklinikum Hamburg-Eppendorf, Martinistraße 52
[2] Department of Urology, Weill Cornell Medical College, New York Presbyterian Hospital, New York NY
[3] Division of Medical Oncology, Weill Cornell Medical College, New York Presbyterian Hospital, New York NY
[4] Department of Urology, University of Florida, College of Medicine, Gainesville FL
来源:
Der Urologe
|
2013年
/
52卷
/
6期
关键词:
Competing risk analysis;
Estimates of survival;
Evidence-based urology;
Prostate cancer;
D O I:
10.1007/s00120-013-3150-4
中图分类号:
学科分类号:
摘要:
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. © 2013 Springer-Verlag Berlin Heidelberg.
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页码:838 / 841
页数:3
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