Kaplan-Meier-Analysen in der urologischen Praxis

M. Rink; L. A. Kluth; S. F. Shariat; M. Fisch; R. Dahlem; P. Dahm

doi:10.1007/s00120-013-3150-4

Kaplan-Meier-Analysen in der urologischen Praxis

Translated title of the contribution: Kaplan-Meier analysis in urological practice

M. Rink, L. A. Kluth, S. F. Shariat, M. Fisch, R. Dahlem, P. Dahm

Urology

Research output: Contribution to journal › Article › peer-review

5 Scopus citations

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 - Ausgabe A
Volume	52
Issue number	6
DOIs	https://doi.org/10.1007/s00120-013-3150-4
State	Published - Jun 1 2013

Keywords

Competing risk analysis
Estimates of survival
Evidence-based urology
Prostate cancer

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access

10.1007/s00120-013-3150-4

OpenUrl availability

Full text

Cite this

@article{8c2a9935f05542af824abfa6787d207e,

title = "Kaplan-Meier-Analysen in der urologischen Praxis",

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.",

keywords = "Competing risk analysis, Estimates of survival, Evidence-based urology, Prostate cancer",

author = "M. Rink and Kluth, {L. A.} and Shariat, {S. F.} and M. Fisch and R. Dahlem and P. Dahm",

year = "2013",

month = jun,

day = "1",

doi = "10.1007/s00120-013-3150-4",

language = "German",

volume = "52",

pages = "838--841",

journal = "Urologe - Ausgabe A",

issn = "0340-2592",

publisher = "Springer Verlag",

number = "6",

}

TY - JOUR

T1 - Kaplan-Meier-Analysen in der urologischen Praxis

AU - Rink, M.

AU - Kluth, L. A.

AU - Shariat, S. F.

AU - Fisch, M.

AU - Dahlem, R.

AU - Dahm, P.

PY - 2013/6/1

Y1 - 2013/6/1

N2 - 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.

AB - 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.

KW - Competing risk analysis

KW - Estimates of survival

KW - Evidence-based urology

KW - Prostate cancer

UR - http://www.scopus.com/inward/record.url?scp=84879555982&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84879555982&partnerID=8YFLogxK

U2 - 10.1007/s00120-013-3150-4

DO - 10.1007/s00120-013-3150-4

M3 - Article

C2 - 23703691

AN - SCOPUS:84879555982

SN - 0340-2592

VL - 52

SP - 838

EP - 841

JO - Urologe - Ausgabe A

JF - Urologe - Ausgabe A

IS - 6

ER -

Kaplan-Meier-Analysen in der urologischen Praxis

Abstract

Keywords

UN SDGs

Access

OpenUrl availability

Other files and links

Fingerprint

Cite this