KMWin – A Convenient Tool for Graphical Presentation of Results from Kaplan-Meier Survival Time Analysis
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Mendeley | Further Information

{"title"=>"KMWin - A convenient tool for graphical presentation of results from Kaplan-Meier survival time analysis", "type"=>"journal", "authors"=>[{"first_name"=>"Arnd", "last_name"=>"Gross", "scopus_author_id"=>"35320063500"}, {"first_name"=>"Marita", "last_name"=>"Ziepert", "scopus_author_id"=>"23391497000"}, {"first_name"=>"Markus", "last_name"=>"Scholz", "scopus_author_id"=>"7202888704"}], "year"=>2012, "source"=>"PLoS ONE", "identifiers"=>{"issn"=>"19326203", "isbn"=>"1932-6203 (Electronic)\\r1932-6203 (Linking)", "doi"=>"10.1371/journal.pone.0038960", "pui"=>"365023709", "sgr"=>"84862504932", "pmid"=>"22723912", "scopus"=>"2-s2.0-84862504932"}, "id"=>"f9b68564-5e22-3ab4-bff4-4e9f63cb08bc", "abstract"=>"BACKGROUND: 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.\\n\\nRESULTS: 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.\\n\\nCONCLUSIONS: 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.", "link"=>"http://www.mendeley.com/research/kmwin-convenient-tool-graphical-presentation-results-kaplanmeier-survival-time-analysis", "reader_count"=>14, "reader_count_by_academic_status"=>{"Professor > Associate Professor"=>1, "Researcher"=>8, "Student > Doctoral Student"=>1, "Student > Ph. D. Student"=>2, "Student > Postgraduate"=>1, "Student > Master"=>1}, "reader_count_by_user_role"=>{"Professor > Associate Professor"=>1, "Researcher"=>8, "Student > Doctoral Student"=>1, "Student > Ph. D. Student"=>2, "Student > Postgraduate"=>1, "Student > Master"=>1}, "reader_count_by_subject_area"=>{"Unspecified"=>1, "Biochemistry, Genetics and Molecular Biology"=>2, "Agricultural and Biological Sciences"=>4, "Medicine and Dentistry"=>7}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>7}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>4}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>2}, "Unspecified"=>{"Unspecified"=>1}}, "reader_count_by_country"=>{"Hungary"=>1, "United States"=>1, "Brazil"=>1}, "group_count"=>1}

Scopus | Further Information

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Figshare

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  • {"files"=>["https://ndownloader.figshare.com/files/622981"], "description"=>"<p>Simplified representation of KMWin Main Window. Settings apart from default are black. Filled grey circles are labels for: 1-Button area, 2-Variables table, 3-Factor levels table, 4-Axes settings, 5-Censored times setting, 6-Number under risk settings, 7-Legend settings, 8-Logrank test settings and 9-Logrank table.</p>", "links"=>[], "tags"=>["computer science", "Non-clinical medicine"], "article_id"=>293479, "categories"=>["Information And Computing Sciences", "Medicine"], "users"=>["Arnd Gross", "Marita Ziepert", "Markus Scholz"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0038960.g001", "stats"=>{"downloads"=>2, "page_views"=>40, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_KMWin_Main_Window_/293479", "title"=>"KMWin Main Window.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2012-06-15 00:57:59"}
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  • {"files"=>["https://ndownloader.figshare.com/files/623053"], "description"=>"<p>Simplified representation of KMWin Preferences Window and Filter Window. Settings apart from default are black. Filled grey circles are labels for: 1-Item properties, 2-General line properties, 3-Button area, 4-Variables table, 5-Filter string edit box, 6-Input panel, 7-Button area.</p>", "links"=>[], "tags"=>["preferences"], "article_id"=>293548, "categories"=>["Information And Computing Sciences", "Medicine"], "users"=>["Arnd Gross", "Marita Ziepert", "Markus Scholz"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0038960.g002", "stats"=>{"downloads"=>1, "page_views"=>3, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_KMWin_Preferences_Window_left_and_Filter_Window_right_/293548", "title"=>"KMWin Preferences Window (left) and Filter Window (right).", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2012-06-15 00:59:08"}
  • {"files"=>["https://ndownloader.figshare.com/files/623193"], "description"=>"<p>Simplified representation of KMWin Log Window. Black lettering emphasizes user settings embedded in R commands. Filled grey circles are labels for: 1-Sample write and read command (load survival data and request variable names), 2-Settings for colours of plain, axes and labels; scaling of axes and labels; general line width, 3-Survival time analysis with user definied variables timevar, statusvar and factorvar, 4-Colours and line widths of survival curves, 5-Axes settings, 6-Legend settings, 7-Logrank table settings.</p>", "links"=>[], "tags"=>["computer science", "Non-clinical medicine"], "article_id"=>293693, "categories"=>["Information And Computing Sciences", "Medicine"], "users"=>["Arnd Gross", "Marita Ziepert", "Markus Scholz"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0038960.g004", "stats"=>{"downloads"=>0, "page_views"=>3, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_KMWin_Log_Window_/293693", "title"=>"KMWin Log Window.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2012-06-15 01:01:33"}
  • {"files"=>["https://ndownloader.figshare.com/files/323350", "https://ndownloader.figshare.com/files/323375"], "description"=>"<div><h3>Background</h3><p>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.</p> <h3>Results</h3><p>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.</p> <h3>Conclusions</h3><p>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.</p> </div>", "links"=>[], "tags"=>["kmwin", "convenient", "graphical", "results", "kaplan-meier"], "article_id"=>123822, "categories"=>["Information And Computing Sciences", "Medicine"], "users"=>["Arnd Gross", "Marita Ziepert", "Markus Scholz"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0038960.s001", "https://dx.doi.org/10.1371/journal.pone.0038960.s002"], "stats"=>{"downloads"=>2, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/KMWin_A_Convenient_Tool_for_Graphical_Presentation_of_Results_from_Kaplan_Meier_Survival_Time_Analysis/123822", "title"=>"KMWin – A Convenient Tool for Graphical Presentation of Results from Kaplan-Meier Survival Time Analysis", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2012-06-15 01:03:42"}

PMC Usage Stats | Further Information

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Relative Metric

{"start_date"=>"2012-01-01T00:00:00Z", "end_date"=>"2012-12-31T00:00:00Z", "subject_areas"=>[{"subject_area"=>"/Computer and information sciences", "average_usage"=>[352, 587, 696, 809, 901, 989, 1072, 1156, 1257, 1334, 1422, 1486, 1555, 1647, 1714, 1780, 1844, 1919, 1997, 2051, 2138, 2198, 2267, 2324, 2391]}, {"subject_area"=>"/Social sciences/Linguistics", "average_usage"=>[300, 519, 627, 708, 779, 867, 951, 1007, 1089, 1155, 1239, 1297, 1371, 1432, 1497, 1566, 1660, 1727, 1783, 1839, 1933, 1995, 2064, 2109, 2135]}]}
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