V. Stel, F. Dekker, G. Tripepi, C. Zoccali, and K. Jager. Nephron. Clinical practice, 119 (1):
c83-8(January 2011)6597<m:linebreak></m:linebreak>CI: Copyright (c) 2011; JID: 101159763; 2011/06/15 aheadofprint; ppublish;<m:linebreak></m:linebreak>Anàlisi de supervivència; Introductori; Nefrologia.
DOI: 10.1159/000324758
Abstract
The Kaplan-Meier (KM) method is used to analyze 'time-to-event' data. The outcome in KM analysis often includes all-cause mortality, but could also include other outcomes such as the occurrence of a cardiovascular event. The purpose of this article is to explain the basic concepts of the KM method, to provide some guidance regarding the presentation of the KM results and to discuss some important limitations of this method. To do this, we use a clinical example derived from the nephrology literature.
%0 Journal Article
%1 Stel2011a
%A Stel, Vianda S
%A Dekker, Friedo W
%A Tripepi, Giovanni
%A Zoccali, Carmine
%A Jager, Kitty J
%D 2011
%J Nephron. Clinical practice
%K Chronic Chronic:mortality Follow-UpStudies Humans Kaplan-MeierEstimate KidneyFailure Registries SurvivalAnalysis
%N 1
%P c83-8
%R 10.1159/000324758
%T Survival analysis I: the Kaplan-Meier method.
%U http://www.ncbi.nlm.nih.gov/pubmed/21677442
%V 119
%X The Kaplan-Meier (KM) method is used to analyze 'time-to-event' data. The outcome in KM analysis often includes all-cause mortality, but could also include other outcomes such as the occurrence of a cardiovascular event. The purpose of this article is to explain the basic concepts of the KM method, to provide some guidance regarding the presentation of the KM results and to discuss some important limitations of this method. To do this, we use a clinical example derived from the nephrology literature.
%@ 1660-2110; 1660-2110
@article{Stel2011a,
abstract = {The Kaplan-Meier (KM) method is used to analyze 'time-to-event' data. The outcome in KM analysis often includes all-cause mortality, but could also include other outcomes such as the occurrence of a cardiovascular event. The purpose of this article is to explain the basic concepts of the KM method, to provide some guidance regarding the presentation of the KM results and to discuss some important limitations of this method. To do this, we use a clinical example derived from the nephrology literature.},
added-at = {2023-02-03T11:44:35.000+0100},
author = {Stel, Vianda S and Dekker, Friedo W and Tripepi, Giovanni and Zoccali, Carmine and Jager, Kitty J},
biburl = {https://www.bibsonomy.org/bibtex/20cba7f494473570afbe169f57ac2bc20/jepcastel},
city = {ERA-EDTA Registry, Department of Medical Informatics, Academic Medical Center, University of Amsterdam, The Netherlands. v.s.stel@amc.uva.nl},
doi = {10.1159/000324758},
interhash = {949ce3ea234a3dd9ecb148ceac0a02b4},
intrahash = {0cba7f494473570afbe169f57ac2bc20},
isbn = {1660-2110; 1660-2110},
issn = {1660-2110},
journal = {Nephron. Clinical practice},
keywords = {Chronic Chronic:mortality Follow-UpStudies Humans Kaplan-MeierEstimate KidneyFailure Registries SurvivalAnalysis},
month = {1},
note = {6597<m:linebreak></m:linebreak>CI: Copyright (c) 2011; JID: 101159763; 2011/06/15 [aheadofprint]; ppublish;<m:linebreak></m:linebreak>Anàlisi de supervivència; Introductori; Nefrologia},
number = 1,
pages = {c83-8},
pmid = {21677442},
timestamp = {2023-02-03T11:44:35.000+0100},
title = {Survival analysis I: the Kaplan-Meier method.},
url = {http://www.ncbi.nlm.nih.gov/pubmed/21677442},
volume = 119,
year = 2011
}