In this tutorial, I will explain how to perform survival analysis in R, including log rank test, Cox regression, Kaplan-Meier curves, and more! We will use the R packages ggsurvplot, survminer and survival. You will learn how to:
- plot a Kaplan Meier curve
- test for differences between groups using the log rank test
- build a survival model with Cox regression
- and visualise your results with a forest plot.
And as always, you can find the code I am using in this tutorial at biostatsquid.com, where you can also find a step by step explanation of the code. For this tutorial you will need R, or Rstudio, and you will need to install the package listed above.
Hope you like it!
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Other interesting resources for survival analysis:
Easy R tutorial: [ Ссылка ]
More on survival curves: [ Ссылка ]
