KMWin – A Convenient Tool for Graphical Presentation of Results from Kaplan-Meier Survival Time Analysis
نویسندگان
چکیده
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. RESULTS 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. CONCLUSIONS 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.
منابع مشابه
Survival Time of Young Women Childbearing in Tehran
Since determination of factors influencieng childbearing delay can provide convenient approaches to prevent fertility decline, nowadays studying this issue is an important issue for demographers and it is also emphasized by planners and politicians. The aim of this study is to evaluate factors influencing first birth interval among 458, young Iranian married women in Tehran province. In this cr...
متن کاملبرآورد خطای پیش بینی برای وضعیت بقا و کاربرد آن درتحلیل بقای بیماران مبتلا به سرطان روده بزرگ
Introduction: Colorectal cancer is one of the most widespread and killer among cancers. It is important that we predict what status people have in the future. The purpose of this study was comparison of the Cox model and Kaplan-Meier curve with IBS and also identifying the factors about predicted survival time of patients with colon cancer. Materials & Methods: This paper is related to colore...
متن کاملEffective Factors in the Survival Time of Covid-19 Patients in Three Epidemic Waves: A Prospective Cohort Study
Background and Objectives: This study aimed to investigate the effective factors in the survival/hazard time of Covid-19 patients in three waves of epidemic. Methods: All 880 Covid-19 patients were included in this prospective cohort study using the census method. Polymerase chain reaction was used to diagnose Covid-19. The survival status of these patients was followed up for 4 months. The...
متن کاملExamining Effective Factors on Duration Time of Recommitment Using Cox's Proportional Hazard Model
Abstract. Recently, in most of scientific studies, the use of survival analysis is performed for examining duration time models. One of the important applications of survival analysis is the study of recommitment crime in criminology which has not yet been considered in Iran. So, with attention to the necessity and importance of predicting recommitment time and the analysis of duration model...
متن کاملتحلیل بقای بیماران سرطان کولورکتال و عوامل پیشآگهی دهنده با استفاده از مدل رگرسیون کاکس
Background: Colorectal cancer is the third current cancer in the world and the forth cause of death in cancers. Certain factors such as environmental, genetic and life style are related with this cancer. The objective of this study is to find the survival of Iranian patients with colorectal cancer and also to find its prognostic factors. Methods: In this survival study, the data was co...
متن کامل