KMWin--a convenient tool for graphical presentation of results from Kaplan-Meier survival time analysis.

<h4>Background</h4>Analysis of clinical studies often necessitates multiple graphical representations of the results. Many professional software packages are available for this purpose. Most packages are either only commercially available or hard to use especially if one aims to generate...

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Autores principales: Arnd Gross, Marita Ziepert, Markus Scholz
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Publicado: Public Library of Science (PLoS) 2012
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Acceso en línea:https://doaj.org/article/2a8a76f76b454d8caeda5531a3a8ee76
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spelling oai:doaj.org-article:2a8a76f76b454d8caeda5531a3a8ee762021-11-18T07:15:19ZKMWin--a convenient tool for graphical presentation of results from Kaplan-Meier survival time analysis.1932-620310.1371/journal.pone.0038960https://doaj.org/article/2a8a76f76b454d8caeda5531a3a8ee762012-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22723912/?tool=EBIhttps://doaj.org/toc/1932-6203<h4>Background</h4>Analysis of clinical studies often necessitates multiple graphical representations of the results. Many professional software packages are available for this purpose. Most packages are either only commercially available or hard to use especially if one aims to generate or customize a huge number of similar graphical outputs. We developed a new, freely available software tool called KMWin (Kaplan-Meier for Windows) facilitating Kaplan-Meier survival time analysis. KMWin is based on the statistical software environment R and provides an easy to use graphical interface. Survival time data can be supplied as SPSS (sav), SAS export (xpt) or text file (dat), which is also a common export format of other applications such as Excel. Figures can directly be exported in any graphical file format supported by R.<h4>Results</h4>On the basis of a working example, we demonstrate how to use KMWin and present its main functions. We show how to control the interface, customize the graphical output, and analyse survival time data. A number of comparisons are performed between KMWin and SPSS regarding graphical output, statistical output, data management and development. Although the general functionality of SPSS is larger, KMWin comprises a number of features useful for survival time analysis in clinical trials and other applications. These are for example number of cases and number of cases under risk within the figure or provision of a queue system for repetitive analyses of updated data sets. Moreover, major adjustments of graphical settings can be performed easily on a single window.<h4>Conclusions</h4>We conclude that our tool is well suited and convenient for repetitive analyses of survival time data. It can be used by non-statisticians and provides often used functions as well as functions which are not supplied by standard software packages. The software is routinely applied in several clinical study groups.Arnd GrossMarita ZiepertMarkus ScholzPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 7, Iss 6, p e38960 (2012)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Arnd Gross
Marita Ziepert
Markus Scholz
KMWin--a convenient tool for graphical presentation of results from Kaplan-Meier survival time analysis.
description <h4>Background</h4>Analysis of clinical studies often necessitates multiple graphical representations of the results. Many professional software packages are available for this purpose. Most packages are either only commercially available or hard to use especially if one aims to generate or customize a huge number of similar graphical outputs. We developed a new, freely available software tool called KMWin (Kaplan-Meier for Windows) facilitating Kaplan-Meier survival time analysis. KMWin is based on the statistical software environment R and provides an easy to use graphical interface. Survival time data can be supplied as SPSS (sav), SAS export (xpt) or text file (dat), which is also a common export format of other applications such as Excel. Figures can directly be exported in any graphical file format supported by R.<h4>Results</h4>On the basis of a working example, we demonstrate how to use KMWin and present its main functions. We show how to control the interface, customize the graphical output, and analyse survival time data. A number of comparisons are performed between KMWin and SPSS regarding graphical output, statistical output, data management and development. Although the general functionality of SPSS is larger, KMWin comprises a number of features useful for survival time analysis in clinical trials and other applications. These are for example number of cases and number of cases under risk within the figure or provision of a queue system for repetitive analyses of updated data sets. Moreover, major adjustments of graphical settings can be performed easily on a single window.<h4>Conclusions</h4>We conclude that our tool is well suited and convenient for repetitive analyses of survival time data. It can be used by non-statisticians and provides often used functions as well as functions which are not supplied by standard software packages. The software is routinely applied in several clinical study groups.
format article
author Arnd Gross
Marita Ziepert
Markus Scholz
author_facet Arnd Gross
Marita Ziepert
Markus Scholz
author_sort Arnd Gross
title KMWin--a convenient tool for graphical presentation of results from Kaplan-Meier survival time analysis.
title_short KMWin--a convenient tool for graphical presentation of results from Kaplan-Meier survival time analysis.
title_full KMWin--a convenient tool for graphical presentation of results from Kaplan-Meier survival time analysis.
title_fullStr KMWin--a convenient tool for graphical presentation of results from Kaplan-Meier survival time analysis.
title_full_unstemmed KMWin--a convenient tool for graphical presentation of results from Kaplan-Meier survival time analysis.
title_sort kmwin--a convenient tool for graphical presentation of results from kaplan-meier survival time analysis.
publisher Public Library of Science (PLoS)
publishDate 2012
url https://doaj.org/article/2a8a76f76b454d8caeda5531a3a8ee76
work_keys_str_mv AT arndgross kmwinaconvenienttoolforgraphicalpresentationofresultsfromkaplanmeiersurvivaltimeanalysis
AT maritaziepert kmwinaconvenienttoolforgraphicalpresentationofresultsfromkaplanmeiersurvivaltimeanalysis
AT markusscholz kmwinaconvenienttoolforgraphicalpresentationofresultsfromkaplanmeiersurvivaltimeanalysis
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