1963, Blood, 21, 699-716)" and creates a KM plot with risk table. The following code loads the data from "Freireich, EJ et al. : Added logrank test for trend, use 'LogRankTrend',true Simple Example Journal of Open Source Software, 5(46), 1830, MATLAB Release CompatibilityĬompatible with R2016b to R2019b Recent Improvements ![]() MatSurv: Survival analysis and visualization in MATLAB. MatSurv hopefully will make the life easier for fellow Bioinformaticians (and other professionals) who prefer MATLAB over R. MatSurv also provides a fine grained customization of the KM-plots, making it suitable for publications. ![]() A risk table describe the number of patients that are still “at-risk” at a specific timepoint. If none of these events occur during the study period, the time-to-event is unknown, this point is called censored. An event is, for example, death, relapse of disease, or a new metastatic tumor. MatSurv allows MATLAB users to create KM-plots with a risk table and also to perform a log-rank test between two or more groups. ![]() = MatSurv( TimeVar, EventVar, GroupVar, 'param ', value, …) Table of contents
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