MatSurv

Versione 1.1.03 (1,56 MB) da Anders
Survival analysis in MATLAB
961 download
Aggiornato 11 mag 2022
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 (https://github.com/kassambara/survminer).
More examples can be found at: https://github.com/aebergl/MatSurv

Cita come

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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Compatibilità della release di MATLAB
Creato con R2017a
Compatibile con R2016b fino a R2021b
Compatibilità della piattaforma
Windows macOS Linux
Riconoscimenti

Ispirato da: KMplot, Logrank

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Le versioni che utilizzano il ramo predefinito di GitHub non possono essere scaricate

Versione Pubblicato Note della release
1.1.03

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

1.1.02

Fixed bug for Chi2 calculations with more than 4 groups

1.1.01

Fixed description text

1.1

Added JOSS paper and DOI information

1.0.4.3

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

1.0.4.2

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

1.0.4.1

Fixed bug in print option

1.0.4

Fixed the HR calculations when there are multiple groups

1.0.3

Small update of functionality

1.0.2

Updated Cite As

1.0.1

Updated stats structure and included Mantel-Haenszel Hazard Ratio

1.0.0.0

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

Per visualizzare o segnalare problemi su questo componente aggiuntivo di GitHub, visita GitHub Repository.
Per visualizzare o segnalare problemi su questo componente aggiuntivo di GitHub, visita GitHub Repository.