Logrank

版本 2.0.0.0 (15.6 KB) 作者: Giuseppe Cardillo
Comparing survival curves of two groups using the log rank test
4.6
(8)
5.4K 次下载
更新时间 2018/6/26
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Comparing survival curves of two groups using the log rank test.
Comparison of two survival curves can be done using a statistical hypothesis test called the log rank test. It is used to test the null hypothesis that there is no difference between the population survival curves (i.e. the probability of an event occurring at any time point is the same for each population). This function uses the Kaplan-Meier procedure to estimate the survival function (KMPLOT), so if it misses, logrank will try to download it from FEX.
Created by Giuseppe Cardillo
giuseppe.cardillo-edta@poste.it

To cite this file, this would be an appropriate format: Cardillo G. (2008). LogRank: Comparing survival curves of two groups using the log rank test http://www.mathworks.com/matlabcentral/fileexchange/22317

引用格式

Giuseppe Cardillo (2024). Logrank (https://github.com/dnafinder/logrank), GitHub. 检索时间: .

MATLAB 版本兼容性
创建方式 R2014b
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无法下载基于 GitHub 默认分支的版本

版本 已发布 发行说明
2.0.0.0

inputparser; table implementation; github link
1.13.0.0

bug fixed on input data checkpoint section
1.12.0.0

Mantel-Haenszel Hazard ratio was added
1.11.0.0

It is better clarified that this is a 2-tailed test
1.10.0.0

function was adapted to the new kmplot function
1.9.0.0

hazard ratio added
1.7.0.0

correction in p-value computation (thanks to Prof. Brani Vidakovic)
1.6.0.0

Changes in code to solve an incompatibility with Mac (Thanks to Tim the cyclist)
1.5.0.0

Changes in description
1.4.0.0

Correction of a bug that occurs when data are not censored
1.3.0.0

Correction to avoid NaN in Standard error computation
1.2.0.0

correction when the first value is censored
1.1.0.0

changes in help section for correct citation
1.0.0.0

要查看或报告此来自 GitHub 的附加功能中的问题，请访问其 GitHub 仓库。
要查看或报告此来自 GitHub 的附加功能中的问题，请访问其 GitHub 仓库。