Versión 1.1.03 (1.56 MB) por Anders
Survival analysis in MATLAB

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Actualizado 11 May 2022

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MatSurv is a simple survival analysis function for MATLAB (version 2016b and later) that creates a KM-plot with risk table. Survival statistics, such as log rank p-value and Hazard Ration (HR) is also calculated. The log rank test has been tested to give the same results as SAS and R. The style of the KM-plot is easily changed with input parameters. No additional toolboxes are needed. MatSurv was inspired by the survminer R-package (
More examples can be found at:

Citar como

Creed, Jordan, et al. “MatSurv: Survival Analysis and Visualization in MATLAB.” Journal of Open Source Software, vol. 5, no. 46, The Open Journal, Feb. 2020, p. 1830, doi:10.21105/joss.01830.

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Compatibilidad con la versión de MATLAB
Se creó con R2017a
Compatible con cualquier versión desde R2016b hasta R2021b
Compatibilidad con las plataformas
Windows macOS Linux

Inspirado por: KMplot, Logrank

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Versión Publicado Notas de la versión

Added options to use all four quartile groups, use 'CutPoint', 'QuartileAll'


Fixed bug for Chi2 calculations with more than 4 groups


Fixed description text


Added JOSS paper and DOI information

Additional error checking including minimum number of samples per group and if there is more than one group with zero events. Also added support for multilevel GroupsToUse input in order to merge groups

Added an option so the risk table can be placed in the KM-plot (RT_KMplot)

Fixed bug in print option


Fixed the HR calculations when there are multiple groups


Small update of functionality


Updated Cite As


Updated stats structure and included Mantel-Haenszel Hazard Ratio

Fixed bug where it crashed if there was only 1 group member.
Updated the description
Updated GitHub example figures to match current default settings
Fixed a bug where median survival time was not calculated with the NoPlot option
Updated CutPoint option to include Tertile
Updated LineColor options, median survival time is now calculated and option to print results to the screen
Changed median cut to x < median by default and added an option to change it to x > median. Only affect the results if there is an odd number of samples.
Updated MATLAB version requirement

Para consultar o notificar algún problema sobre este complemento de GitHub, visite el repositorio de GitHub.
Para consultar o notificar algún problema sobre este complemento de GitHub, visite el repositorio de GitHub.