Kaplan-Meier-Analysen in der urologischen Praxis

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Kaplan-Meier-Analysen in der urologischen Praxis. / Rink, M; Kluth, L A; Shariat, S F; Fisch, M; Dahlem, R; Dahm, P.

In: UROLOGE, Vol. 52, No. 6, 01.06.2013, p. 838-41.

Research output: SCORING: Contribution to journalSCORING: Journal articleResearchpeer-review

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Rink, M, Kluth, LA, Shariat, SF, Fisch, M, Dahlem, R & Dahm, P 2013, 'Kaplan-Meier-Analysen in der urologischen Praxis', UROLOGE, vol. 52, no. 6, pp. 838-41. https://doi.org/10.1007/s00120-013-3150-4

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Bibtex

@article{86f110e0aaff4854a306f797fac2c107,
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 = "Aged, Aged, 80 and over, Female, Geriatric Assessment, Humans, Kaplan-Meier Estimate, Male, Middle Aged, Prognosis, Risk Assessment, Urologic Neoplasms, Urology",
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 = "Deutsch",
volume = "52",
pages = "838--41",
journal = "UROLOGE",
issn = "0340-2592",
publisher = "Springer",
number = "6",

}

RIS

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 - Aged

KW - Aged, 80 and over

KW - Female

KW - Geriatric Assessment

KW - Humans

KW - Kaplan-Meier Estimate

KW - Male

KW - Middle Aged

KW - Prognosis

KW - Risk Assessment

KW - Urologic Neoplasms

KW - Urology

U2 - 10.1007/s00120-013-3150-4

DO - 10.1007/s00120-013-3150-4

M3 - SCORING: Zeitschriftenaufsatz

C2 - 23703691

VL - 52

SP - 838

EP - 841

JO - UROLOGE

JF - UROLOGE

SN - 0340-2592

IS - 6

ER -